MEDICAL IMAGING TECHNICAL PROGRAM - spie.org/mi
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MEDICAL
IMAGING
TECHNICAL PROGRAM
TEXAS
15–20 February 2020
IN 2020
Marriott Marquis Houston
Houston, Texas, USA
spie.org/mi
#SPIEMedicalImaging
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CONNECTING MINDS.
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MEDICAL
IMAGING 2020
THE PREMIER EVENT FOR THE SCIENCE
BEHIND MEDICAL IMAGING
15–20 February 2020
Marriott Marquis Houston
Houston, Texas, USA
CUTTING-EDGE RESEARCH
WORLD-CLASS SPEAKERS
TRAINING AND EDUCATION
FOCUSED TECHNICAL TOPICS
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#SPIEMedicalImaging
SPIE is the international society for optics and photonics, an educational not-for-profit organization founded
in 1955 to advance light-based science, engineering, and technology. SPIE provided more than $5 million in
support of education and outreach programs in 2019.
SPIE would like to express its deepest appreciation to the symposium chairs, conference chairs, program
committees, session chairs, and authors who have so generously given their time and advice to make this
symposium possible.
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1
Welcome to SPIE Medical Imaging 2020
Conferences: Hear 1,000 presentations on the full range of medical imaging modalities including medical image acquisition, display, processing,
analysis, perception, decision support, and informatics.
11312 Physics of Medical Imaging (Chen, Bosmans, Zhao). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
11313 Image Processing (Išgum, Landman) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
11314 Computer-Aided Diagnosis (Hahn, Mazurowski). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
11315 Image-Guided Procedures, Robotic Interventions, and Modeling (Fei, Linte) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
11316 Image Perception, Observer Performance, and Technology Assessment (Samuelson, Taylor-Phillips) . . . . . . . . . 32
11317 Biomedical Applications in Molecular, Structural, and Functional Imaging (Gimi, Krol) . . . . . . . . . . . . . . . . . . . . . . 33
11318 Imaging Informatics for Healthcare, Research, and Applications (Chen, Deserno). . . . . . . . . . . . . . . . . . . . . . . . . . . 33
11319 Ultrasonic Imaging and Tomography (Byram, Ruiter) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
11320 Digital Pathology (Tomaszewski, Ward). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
Courses: Get focused, efficient training on current approaches in medical imaging and deep learning, AI, photon counting, and many more, that you
can apply directly to your daily work. Register soon to ensure a spot.
SC086 Fundamentals of Medical Image Processing and SC1292 Technological Assessment of X-Ray Based NEW
Analysis (Deserno) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Breast Imaging Systems Using Anthropomorphic
SC1129 Photon Counting CT (Danielsson, Sjölin) . . . . . . . . . . . . . . 20 Phantoms (Glick, Bosmans, Badal) . . . . . . . . . . . . . . . . . . . . 22
SC1235 Introduction to Medical Image Analysis Using SC1295 From Analytic to Clinical Validation: NEW
Convolutional Neural Networks (Wenzel) . . . . . . . . . . . . . 21 Moving AI/ML into Practice (Hsu, Brown, Nishikawa,
Krupinski) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
SC1183 Modern Diagnostic X-ray Sources (Behling) . . . . . . . . . . . 21
SC987 Spectral CT Imaging NEW (Schmidt, Flohr, Grant) . . . . . . . 24
SC1239 Virtual Clinical Trials: An In-depth Tutorial
(Maidment, Bakic, Barufaldi) . . . . . . . . . . . . . . . . . . . . . . . . . . 21 SC1296 High-Performance Computing for Medical Imaging on
Graphics Processing Units (GPU) with CUDA (Caucci) . . 24
SC1262 Adversarial Networks: From Architecture
to Practical Training (Wenzel) . . . . . . . . . . . . . . . . . . . . . . . . 22
DAILY EVENT SCHEDULE . . . . . . . . . . . . . . . . . . . . . . . . . . . 16-17 GENERAL INFORMATION . . . . . . . . . . . . . . . . . . . . . . . . . . 91-92
DAILY CONFERENCE SCHEDULE . . . . . . . . . . . . . . . . . 26-30 Registration · Author/Presenter Information
Food and Beverage · Onsite Services · Parking and Car Rental
PROCEEDINGS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72
SPIE POLICIES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94-95
INDEX OF AUTHORS, CHAIRS, AND
COMMITTEE MEMBERS . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73-88
2 SPIE Medical Imaging 2020 • spie.org/mi • #SPIEMedicalImaging
Plenary and Keynote Sessions. . . . . . . . . . . 5–9
Don’t miss these world-class speakers discussing the latest
advancements and most promising breakthroughs.
Technical Events. . . . . . . . . . . . . . . . . . . . . . . 10–12
Join your peers and colleagues in group discussions around focused
technical topics, various workshops, live demos, and at the interactive
poster sessions.
Social + Networking Events. . . . . . . . . . . . . . . . 13
Join your colleagues at various events, including the Student Dessert
with the Experts, Women’s Networking Lunch—events not to be missed!
Award Events + Student Information. . . . 14–15
Participate in the following opportunities: RFW All-Conference Best Student Paper,
Young Scientist Award, Student Paper Award, as well as information about Poster Awards.
Download the
SPIE Conference App
THIS PDF PROGRAM IS CURRENT AS OF 20 JANUARY 2020. Find complete, up-to-date information and create your personalized schedule at spie.org/mi 3
EXECUTIVE ORGANIZING
COMMITTEE
Hilde Bosmans, Katholieke Univ. Leuven
(Belgium)
Brett C. Byram, Vanderbilt Univ. (USA)
Po-Hao Chen, Cleveland Clinic (USA)
Guang-Hong Chen, Univ. of Wisconsin-
Madison (USA)
Thomas M. Deserno, Technische Univ.
Braunschweig (Germany)
Baowei Fei, The Univ. of Texas at Dallas, The
Univ. of Texas Southwestern Medical Ctr.
(USA)
Barjor Gimi, Cooper Medical School, Rowan
Univ. (USA)
Horst K. Hahn, Fraunhofer MEVIS (Germany)
Ivana Išgum, Univ. Medical Ctr. Utrecht
(Netherlands)
Andrzej Krol, SUNY Upstate Medical Univ.
Welcome to
(USA)
SPIE Medical Imaging is the internationally recognized forum for reporting state-of-the-art research
Bennett A. Landman, Vanderbilt Univ. (USA)
and development in medical imaging. The event focuses on the latest innovations found in underlying
Cristian A. Linte, Rochester Institute of
Technology (USA) fundamental scientific principles, technology developments, scientific evaluation, and clinical
Maciej A. Mazurowski, Duke Univ. (USA) application. The symposium covers the full range of medical imaging modalities including image
Nicole V. Ruiter, Karlsruher Institut für processing, physics, computer-aided diagnosis, perception, image-guided procedures, biomedical
Technologie (Germany)
applications, ultrasound, informatics, radiology and digital pathology, with an increased focus on fast
Frank W. Samuelson, U.S. Food and Drug
Administration (USA) emerging areas like deep learning, AI, and machine learning. The event offers the latest advances
Sian Taylor-Phillips, The Univ. of Warwick covered in nine conference topics.
(United Kingdom)
John E. Tomaszewski, Univ. at Buffalo (USA) Join your peers where collaboration brings ideas to life and technology to market. Hear the work,
Aaron D. Ward, The Univ. of Western network with leaders in the field, and see the applications of the future. We look forward to seeing
Ontario (Canada)
you in Houston!
Wei Zhao, Stony Brook Medicine (USA)
COOPERATING ORGANIZATIONS
AAPM—American Association of Physicists Symposium Chairs:
in Medicine
IFCARS—International Foundation for Georgia D. Tourassi Metin N. Gurcan
Computer Assisted Radiology and Surgery Oak Ridge National Wake Forest Baptist Medical
Lab. (USA) Ctr. (USA)
MIPS—Medical Image Perception Society
SIIM—Society for Imaging Informatics in
Medicine
WMIS—World Molecular Imaging Society
PROMOTIONAL PARTNERS
Biophotonics, a Photonics Media Publication
Electro Optics Magazine
optics.org
Photonics Online
Awards and Plenary Session
Don’t miss these world-class speakers discussing the latest directions and most promising breakthroughs.
Monday 17 February 2020 • 4:00 PM - 5:15 PM 4:30 PM
Location: Salon F
Plenary Presentation
4:00 PM
ARE TODAY’S MIXED REALITY EXPERIENCE PILLARS AND
WELCOME AND NEW SPIE FELLOWS HARDWARE ARCHITECTURES WELL ALIGNED WITH THE
ACKNOWLEDGEMENTS SPECIFIC NEEDS OF MEDICAL IMAGING AND SURGICAL GUIDANCE?
Bernard Kress
4:15 PM Principal Optical Architect, HoloLens team
Microsoft Corp. (USA)
BEST STUDENT PAPER AWARDS
Mixed Reality (MR) headsets have the potential to revolutionize the way we work,
ANNOUNCEMENT learn, communicate, and get entertained. The main pillars for MR development
The first place winner and runner up of the Robert F. Wagner are wearable, visual and social comfort, as well as immersion experience. Do
All-Conference Student Paper Award will be announced. these pillars intersect the specific needs of medical imaging and surgical guidance applications?
We will review the various challenges to implement MR hardware specifically adapted to such tasks
with today’s start of the art MR headset technology.
4:20 PM Biography: Bernard Kress has been involved in AR, VR, and MR technology for the past decade,
specifically focussing on hardware issues such as optics, optical architectures and related tech-
SPIE HARRISON H. BARRETT AWARD IN nologies as well as sensors (depth mapping, head and eye tracking, gesture sensing). Bernard
MEDICAL IMAGING published various books and book chapters and authored more than 100 papers on this topics
This award will be presented in recognition of outstanding and holds 50+ international patents on related technologies.
accomplishments in medical imaging. He has been involved in the Google Glass project at Google X Labs since its infancy in 2010, as the
principal optical architect, and later joined the HoloLens Team at Microsoft in 2015 as the Partner
Optical Architect. He is in charge of shaping the next generation mixed reality optical hardware
architectures at HoloLens. He is also a board member and fellow of the SPIE, and conference chair
for various SPIE and OSA conferences related to AR, VR, and MR.
His passion for the tremendous potential of artificial intelligence in medicine resulted in more than
90 publications spanning a range of topics from novel deep learning and Bayesian approaches for
quantification to real-world applications in the clinic. 5
Special Events • Keynote Presentations
IMAGING INFORMATICS FOR HEALTHCARE, RESEARCH, IMAGING INFORMATICS FOR HEALTHCARE, RESEARCH, PHYSICS OF MEDICAL IMAGING
AND APPLICATIONS AND APPLICATIONS Conference 11312 Monday Keynote Presentation
Conference 11318 Sunday Keynote Presentation Conference 11318 Monday Keynote Presentation Monday 17 February 2020 • 10:10 AM - 10:50 AM
Sunday 16 February 2020 • 3:30 PM - 4:30 PM Monday 17 February 2020 • 8:00 AM - 8:40 AM Location: Salon A
Location: River Oaks Location: River Oaks
Innovations and translation in molecular
Cybersecurity in healthcare: is our Shining light into the machine learning PET/MR and PET/CT
patients’ health now at risk? “black box”: the state of explainable AI Georges El Fakhri
Dr. Jim Whitfill William Hsu Massachusetts General Hospital and
HonorHealth and Society for Imaging Univ. of California, Los Angeles (USA) Harvard Medical School (USA)
Informatics (USA)
Abstract: The rapid advancement of artificial intel- Abstract: In this talk, recent developments in Pos-
Abstract: The cybersecurity landscape continues to ligence (AI) and machine learning (ML) techniques itron Emission Tomography (PET) and Magnetic
rapidly evolve across all industries including health- has yielded models whose sensitivity and specificity Resonance Imaging (MRI) are explored and the
care. Unique to healthcare, however, is the fact that rival those of trained human experts. However, as challenges of simultaneous imaging in PET/MR and
patients lives can be impacted by simply altering these models transition from proofs-of-concept to PET/CT as well as the opportunities afforded by two
or withholding information. This is session we will decision support tools that are used clinically, model developers and modalities are discussed. The unique sensitivity of PET (picomolar)
look at the evolution of attacks on personal information, to personal the end-users who interact with them should have a clear appreciation and its quantitative capabilities can be associated with the superb
health information to personal heath. In addition potential methods of how and what these models are “learning”. Future users of these spatial and temporal resolution of MR as well as its excellent soft tissue
to balance sharing of data with protecting patients’ identities will be models should not see them as a “black box” but demand greater contrast to provide an ideal imaging modality for many cancers as well
explored to better understand concepts around federated databases transparency from model developers in conveying the rationale be- as cardiac and brain explorations. Improvements in image quality and
and other anonymization techniques. hind the chosen representation, how the model was trained, and the diagnostic accuracy are illustrated in specific patient studies in PET/
explanation associated with a model’s prediction. MR and PET/CT, and synergies between PET and MR spectroscopy are
Biography: As Chief Transformation Officer, Jim Whitfill, MD, brings
discussed in the context of guiding radiotherapy. Beyond oncology,
leadership expertise in healthcare, organizational culture, and infor- In this talk, I will review current and late-breaking research on the
applications in cardiac (viability, perfusion) and brain imaging (neuro-
mation technology to promote a customer-centric experience and development of explainable machine and deep learning algorithms,
degenerative disease, traumatic brain injury) are presented including
offer new ways to deliver more complete, coordinated and accessible particularly in the areas of computer-aided detection and diagnosis.
very early imaging of prodromal AD and normal aging, mapping of
care. He brings together data, technology and marketing to advance I will present a taxonomy of different types of explanations and
mitochondrial membrane potential and simultaneous PET/fMRI for
technical innovations, such as call center technology, CRM systems, highlight techniques that interrogate the model based on internal
mapping dopaminergic and serotoninergic neurotransmission.
apps and digital tools, to give both the customer and caregivers an structure or the model’s response to perturbations in the input. I will
enhanced approach to care. discuss experiences in applying and interpreting the results of these Biography: Dr. El Fakhri is the Nathaniel & Diana Alpert Professor of
techniques drawn from my work in lung and breast cancer screening Radiology at Harvard Medical School (HMS) and the founding Director
By focusing the efforts of these business areas and finding the right
and other published research. Finally, I will assess the limitations and of the Gordon Center for Medical Imaging at Massachusetts General
digital tools, Dr. Whitfill aims to improve the customer journey so
opportunities of current work in interpretable AI/ML, emphasizing the Hospital and HMS with over 150 members. He is also co-Director of
that it becomes more seamless and focused on the needs of the in-
need for visualizations that aid clinical end-users with understanding the Division of Nuclear Medicine and Molecular Imaging. Dr El Fakhri
dividual. The goal is to transform the organization into a more patient
model outputs and tools for ensuring the validity of model predictions is an internationally recognized expert in quantitative molecular
focused and provider friendly health system which better serves the
over time. imaging (SPECT, PET-CT, and PET-MR) for in vivo assessment of
surrounding community.
patho-physiology in brain, cardiac and oncologic diseases. Current
Before joining HonorHealth, Dr. Whitfill served as chief medical officer Biography: William Hsu is Associate Professor at University of Cal-
areas of research include high resolution PET & MR imaging in a range
for Innovation Care Partners, a clinically integrated network in Phoe- ifornia, Los Angeles in the Departments of Radiological Sciences,
of diseases including neurodegenerative disease and traumatic brain
nix. He also serves as a clinical associate professor in the departments Bioinformatics, and Bioengineering and a core faculty member with
injury (amyloid and neurofibrillary tangles), cardiac arrhythmia and
of Internal Medicine and Biomedical Informatics at the University of the Medical & Imaging Informatics group. He directs the Integrated
heart failure (mitochondrial membrane potential), as well as guiding
Arizona College of Medicine-Phoenix. Diagnostics Shared Resource, an interdepartmental program that
radiotherapy planning (PET/MRS). He has authored or co-authored
catalyzes research and development of computational tools to im-
Dr. Whitfill previously held or holds advisory board responsibilities at over 300 papers and mentored over 100 students, post-docs and
prove early detection, diagnosis, and treatment of cancer through the
GE Healthcare, Philips Healthcare, IDX and KLAS. In July 2018, he began faculty. Dr El Fakhri received many awards and honors, including
integration and curation of multi-scale data. His research lab focuses
his term as the board chair of the Society of Imaging Informatics in the Mark Tetalman Award from the Society of Nuclear Medicine, the
on adapting and validating novel AI/ML algorithms, towards assist-
Medicine and is a regular faculty member for the Radiology Society of Dana Foundation Brain and Immuno-Imaging Award, the Howard
ing physicians with formulating timely, accurate, and personalized
North America and the American College of Radiology. He is a founding Hughes Medical Institutes Training Innovation Award and the Edward
management strategies for individual patients. He is a Deputy Editor
member of the HIMSS-SIIM community for Enterprise Imaging. J. Hoffman Award from the Society of Nuclear Medicine and Molecular
for the Radiology: Artificial Intelligence journal, a co-editor for the
Imaging. He was elected Fellow to the SNMMI, AAPM and IEEE for
Dr. Whitfill received his BA from Princeton University and his MD from Sensor, Signal, and Imaging Informatics section of the IMIA Yearbook
“contributions to biological imaging”.
the University of Pennsylvania. He trained in internal medicine at the of Medical Informatics, and a working group leader for the American
Hospital of the University of Pennsylvania, where he also completed Medical Informatics Association.
a fellowship in medical informatics.
6 SPIE Medical Imaging 2020 • spie.org/mi • #SPIEMedicalImaging
Special Events • Keynote Presentations
IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, ULTRASONIC IMAGING AND TOMOGRAPHY BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL,
AND MODELING Conference 11319 Monday Keynote Presentation AND FUNCTIONAL IMAGING
Conference 11315 Monday Keynote Presentation Monday 17 February 2020 • 2:40 PM - 3:40 PM Conference 11317 Tuesday Keynote Presentation
Monday 17 February 2020 • 1:20 PM - 2:20 PM Location: Salon C Tuesday 18 February 2020 • 10:10 AM - 11:10 AM
Location: Hunter’s Creek Location: River Oaks
Quantitative ultrasound successes:
Healthcare in need of innovation: past, present, and future Label-free molecular imaging with
(exponential) technology and Michael Oelze
spins: a path to high resolution
biomedical entrepreneurship as Beckman Institute, Univ. of Illinois (USA) through learned subspaces
solution providers Abstract: Diagnostic ultrasound is ubiquitous in Zhi-Pei Liang
Michael Friebe clinical practice because it is safe, portable, inex- Univ. of Illinois (USA)
IDTM GmbH, Otto-von-Guericke Univ. Magdeburg pensive, has high spatial resolution and is real time. Abstract: Since its invention in the early 1970s,
(Germany) Therefore, improving the capabilities of diagnostic magnetic resonance imaging (MRI) has become a
ultrasound is a highly significant clinically. In this talk premier tool for structural imaging and function-
Abstract: There are significant challenges in global
we will discuss different applications of quantitative ultrasound (QUS) al imaging using water proton spin signals. MR
healthcare delivery. Some countries have abundant
imaging and how QUS approaches have evolved over time. Specifically, spectroscopic imaging (MRSI) has also long been
services, but are stuck with a rather nimble and
we will discuss the use of spectral-based approaches to estimate the recognized as a potentially powerful tool for non-invasive, label-free
expensive system that focuses on incremental inno-
backscatter coefficient (BSC) and attenuation slope and the use of molecular imaging by exploiting the spin signals from other mole-
vations. Other geographies are still in need of basic
envelope statistics to describe underlying tissue microstructure. These cules. However, state-of-the-art MRSI methods, after more than four
tools and infrastructure and require completely different, inexpensive,
QUS approaches have been successful at classifying tissue state, mon- decades of development, still fall far short of providing adequate
and with that more disruptive solutions.
itoring focused ultrasound therapy, detecting early response of breast spatial resolution, speed, and signal-to-noise ratio (SNR) useful for
Healthcare 4.0 with a focus on prevention / early detection and cancer to neoadjuvant chemotherapy and the automatic detection of label-free molecular imaging applications.
pro-active therapy will employ exponential technologies (AI, Big Data, nerves in the imaging field. We will demonstrate how QUS approaches
Sensor Technology, Synthetic Biology, Robotics, 3D Printing, ...) that can be incorporated on breast tomography machines, which allow an The talk will discuss our recent “breakthroughs” in overcoming the
will surely lead to significant changes in the way we experience and expansion of the tradeoff between spatial resolution and the variance long-standing technical barriers of MRSI-based label-free molecular
deliver healthcare, where an empowered patient will play a more and of QUS estimates. One of the ongoing issues with QUS is the inability imaging using a new technology known as SPICE (SPectroscopic
more important role. to properly account for losses in tissues that affect the estimates Imaging by exploiting spatiospectral CorrElation). SPICE uses a sub-
of the backscatter coefficient. We will demonstrate new calibration space mathematical framework to effectively integrate rapid scanning,
Innovation in that segment can only lead to meaningful solutions sparse sampling, constrained image reconstruction, quantum simula-
if these actually solve a problem and if these problems have been procedures that can improve the ability to account for tissue losses.
Finally, we will discuss how machine learning approaches can further tion, and machine learning. Preliminary results show an unprecedented
properly studied and understood including the future economics capability for simultaneous mapping of brain structures, function and
and delivery changes. Which leads to the question on whether we improve QUS techniques by eliminating the need for models and in
some cases eliminating the need for a reference scan. metabolism using intrinsic spin signals from multiple molecules. In this
actually teach our biomedical engineers the right skills considering talk, I’ll will give an overview of SPICE and also show some “SPICY”
these developments. Biography: Professor Oelze earned a B.S. in Physics and Mathematics experimental results we have obtained.
We should introduce a “MEDTEC DESIGN FOR FUTURE HEALTH- (1994, Harding University) and Ph.D. in Physics (2000, University
of Mississippi). Dr. Oelze joined the faculty of ECE at UIUC in 2005 Biography: Zhi-Pei Liang is currently the Franklin W. Woeltge Profes-
CARE” type program that embraces technological developments, sor of Electrical and Computer Engineering at the University of Illinois
understands the needs of a future healthcare, teaches entrepreneurial and serves as a professor and Associate Head. His research interests
involve biomedical ultrasound including: quantitative ultrasound, at Urbana-Champaign (UIUC). His research is in the general area of
basics and exponential thinking in an interdisciplinary setting. magnetic resonance imaging and spectroscopy, ranging from spin
tomography, therapy and beamforming. Dr. Oelze is a fellow of the
Biography: Michael Friebe is a German citizen with expertise in di- AIUM and a senior member of IEEE. He is a member of the Technical physics, signal processing, machine learning, to biomedical applica-
agnostic imaging + image guided therapies, as founder/innovator/ Program Committee of the IEEE Ultrasonics Symposium and serves tions. His work has been recognized by a number of awards, including
CEO/investor, and research scientist. as an associate editor-in-chief of IEEE TUFFC, associate editor of the Sylvia Sorkin Greenfield Award (Medical Physics, 1990), Whitaker
Ultrasonic Imaging and associate editor for IEEE TBME. Biomedical Engineering Research Award (1991), NSF CAREER Award
Dr. Friebe currently is a research fellow of TUM in Munich, an adjunct
(1995), Henry Magnuski Scholar Award (UIUC, 1999), University
professor at the Queensland University of Technology in Brisbane,
Scholar Award (UIUC, 2001), the Otto Schmitt Award (IFMBE, 2012),
and a professor of Image Guided Therapies at Otto-von-Guericke-Uni-
and the Technical Achievement Award (IEEE-EMBS, 2014). Dr. Liang
versity in Magdeburg, Germany.
is a Fellow of the IEEE, ISMRM and AIMBE. He was elected to the In-
He is a listed inventor of almost 100 patents, author of >250 scientific ternational Academy of Medical and Biological Engineering in 2012.
contributions, has started well over 20 medical technology start-ups, Dr. Liang served as President of the IEEE-EMBS from 2011-2012 and
is a board member of four medical technology startup companies, received its Distinguished Service Award in 2015.
and an investment partner of a MedTec investment-fund.
THIS PDF PROGRAM IS CURRENT AS OF 20 JANUARY 2020. Find complete, up-to-date information and create your personalized schedule at spie.org/mi 7
Special Events • Keynote Presentations
COMPUTER-AIDED DIAGNOSIS IMAGE PERCEPTION, OBSERVER PERFORMANCE, AND IMAGE PROCESSING
Conference 11314 Keynote Presentation Tuesday TECHNOLOGY ASSESSMENT Conference 11313 Wednesday Keynote Presentation
Tuesday 18 February 2020 • 1:20 PM - 2:20 PM Conference 11316 Wednesday Keynote Presentation Wednesday 19 February 2020 • 10:10 AM - 11:10 AM
Location: Salon B Wednesday 19 February 2020 • 8:00 AM - 9:00 AM Location: Salon C
Location: Briargrove
Will AI make me a better doctor? Bringing machine learning to the
Jonathan I. Wiener
Towards understanding perception in clinic: opportunities and challenges
Boca Radiology Group and the latest era of AI in medical imaging Tim Leiner
FAU Medical School (USA)
Maryellen Giger Univ. Medical Ctr. Utrecht (Netherlands)
Abstract: The term “Artificial Intelligence” has Univ. of Chicago, (USA)
Abstract: Machine learning and especially deep
come into such common usage, that it is now used
Abstract: The study of human perception is as old learning hold great promise to improve patient care.
interchangeably with any software which automates
as medical imaging. Understanding perception has In several domains, algorithms perform as good as
routine tasks. In fact, AI software at its current usage
yielded the rules of engagement for radiologists or better than fellowship trained radiologists for
is not intelligent and cannot think out of the box.
as they tackle the “Where’s Waldo?” situations, identification of abnormalities in clinically acquired
In this lecture, we will explore the history of software and hardware
the satisfaction of search problem, distractions, images. However, there are much broader applica-
development, of pattern recognition algorithms and lately deep
fatigue, the varying subtlties of disease states and tions beyond image analysis such as patient selection and examination
learning, which are expected to allow healthcare providers to perform
normal, their prior training and experience, and the somewhat endless scheduling, image acquisition and reconstruction, using image data
their tasks with more reliability, accuracy, and to avoid critical errors,
non-image-interpretation tasks associated with a radiology practice. for prognostic purposes, and combing image data with information
known in medicine as sentinel events. While there is excitement about
The understanding of artificial intelligence (AI) on a radiologist’s from electronic health records, laboratory and genetic data. Fur-
robots and androids also performing human tasks, as physicians and
interpretation can be likened to considering the suggestions from a thermore, in order for algorithms to be broadly accepted, there are
healthcare providers, we cannot lose the human touch, as that is a
first-year resident to incorporating insights from a seasoned expert. many scenarios where it is important for the clinician that results are
critical component in improving the experience and probably outcome
Kundel’s eye gaze experiments which demonstrated the search explainable. In addition, clinical deployment and workflow should be
of patients when faced with medical illness. Currently deployed AI and
patterns of radiologists and laymen continue to be used today to taken into consideration when designing the algorithm and bringing
healthcare software often fails by distracting providers and decreases
understand the added influence of AI in the end user’s performance. it to clinical practice. In my lecture I will focus on these aspects from
human interaction time with patients. The current state of software
Multi-disciplinary perception research has evolved from understanding a cardiovascular imaging perspective.
also often fails in catching mistakes and may even cause mistakes.
human performance in the interpretation of medical images, to the
We will discuss what is needed in order to truly improve the patient’s Biography: Dr. Tim Leiner is tenured Professor of Radiology and holds
understanding of computer-aided diagnosis (CAD), and to now the
experience and outcomes, and which tasks would ideally be taken the Chair in Cardiovascular Imaging at Utrecht University Medical
understanding of AI -- either as an aid to radiologists as a second
over by a future “AI”. Real life case examples will be used to make Center, Utrecht, The Netherlands. His research interests center around
reader, a concurrent reader, or a primary reader, or as a complete
the points in this lecture. the development and implementation of new MR and CT techniques
replacement. This lecture will take the audience through history to
with a focus on cardiovascular imaging and machine learning. Dr.
Biography: Jonathan Wiener, MD is the Director of Neuroradiology appreciate the role and necessity of perception (and its associated
Leiner is Associate Editor of the Journal of Magnetic Resonance
and MRI at Boca Radiology Group and Boca Raton Regional Hospital metrics of performance) in the development, validation, and ultimate
Imaging (JMRI), the Journal of Cardiovascular Magnetic Resonance
since 1989. Dr. Wiener is currently an Associate Clinical Professor at future implementation of AI in the clinical radiology workflow.
(JCMR), and Radiology – Cardiothoracic. He is the author of over 300
Florida Atlantic University, teaching medical students and residents.
Biography: Maryellen Giger, Ph.D. is the A.N. Pritzker Professor of original papers, review articles and book chapters as well as editor of
He completed a degree in chemistry and obtained his medical degree
Radiology / Medical Physics at the University of Chicago. She has been several electronic radiology textbooks. He is currently Vice-President
at the State University of New York Downstate Medical Center. He then
working, for multiple decades, on computer-aided diagnosis /machine of the ISMRM.
trained in internal medicine at the Albert Einstein Montefiore Medical
learning/deep learning in medical imaging and cancer diagnosis /
Center. Dr. Wiener completed his Residency and Neuroradiology
management. Her AI research in breast cancer for risk assessment,
Fellowship at the Mallinckrodt Institute of Radiology, Washington
diagnosis, prognosis, and therapeutic response has yielded various
University, St. Louis, MO. He worked as an ER physician at the St.
translated components, and she is using these “virtual biopsies” in
Louis County Regional Hospital. His career has included 35 years of
imaging-genomics association studies. Giger is a former president of
collaborations with the medical industry in software and hardware
AAPM and of SPIE; and is the Editor-in-Chief of the Journal of Medical
development, his publications include a book on the physics of MRI
Imaging. She is a member of the NAE; Fellow of AAPM, AIMBE, SPIE,
and a number of peer reviewed articles on software and its role in
SBMR, IEEE, IAMBE; and was cofounder, equity holder, and scientific
clinical care.
advisor of Quantitative Insights [now Qlarity Imaging], which produces
QuantX, the first FDA-cleared, machine-learning driven CADx system.
8 SPIE Medical Imaging 2020 • spie.org/mi • #SPIEMedicalImagingDIGITAL PATHOLOGY
Conference Wednesday Keynote Presentation
Wednesday 11320 19 February 2020 • 1:20 PM - 2:20 PM
Location: Salon A
Petascale computational pathology
for precision medicine
Nasir Rajpoot
Univ. of Warwick (United Kingdom)
Abstract: Modern day slide scanners are capable
of generating large microscopic resolution images
of conventional tissue slides, spurring a revolution
in the practice of cellular pathology as a discipline.
This development comes at a time when computing
capacity and machine learning technologies are
peaking, offering a remarkable opportunity to reveal complex cellular
patterns in a data-driven manner. With an increasing number of NHS
pathology labs being digitised in the UK, there is an explosion in the
amount of pathology image data with linked clinical outcomes. This
data is a potential goldmine of invaluable information, ripe for deep
mining of novel digital histological biomarkers of the ‘state of play’ of
complex diseases such as cancer. How can we facilitate the discovery
of digital histology biomarkers to further our understanding of cancer,
stratify patients into different risk groups and predict the progression
and survival of cancer?
Biography: Nasir Rajpoot is Professor of Computational Pathology at
the Computer Science department of the University of Warwick, where
he started his academic career as a Lecturer (Assistant Professor) in
2001. He also holds an Honorary Scientist position at the Department
of Pathology, University Hospitals Coventry & Warwickshire NHS
Trust since 2016.
M EDICAL IM AGING FOR DETECTION,
Prof Rajpoot is the founding Head of Tissue Image Analytics laboratory DIAGNOSTICS, AND THERAPY OF DISEASE
(TIA lab) at Warwick since 2012. In Autumn 2017, he was awarded the
Wolfson Fellowship by the UK Royal Society and the Turing Fellowship spie.org/jmi
by the Alan Turing Institute, the UK’s national institute for data science
and artificial intelligence.
Current focus of research in Prof Rajpoot’s lab is on developing algo-
rithms for the analysis of digitised pathology images, with applications
to computer-assisted grading of cancer and image-based markers
for prediction of cancer progression and survival. He has been active
in the digital pathology community for almost a decade now, having
co-chaired several meetings in the histology image analysis (HIMA)
series since 2008 and served as a founding PC member of the SPIE
Digital Pathology meeting since 2012.
Prof Rajpoot served as the President of the European Congress on
Digital Pathology (ECDP), which was held at Warwick in April 2019.
Since Jan 2019, he acts as Co-Director of the £15m PathLAKE national
centre of excellence on AI in pathology, leading the computational
arm of the centre.
9Special Events • Technical Events • FREE •
OPEN TO ALL
CONFERENCE
ATTENDEES
Join your peers and colleagues in group discussions around focused technical topics,
various workshops, live demos, and at the interactive poster sessions.
Sunday/Monday Poster Viewing TECHNICAL WORKSHOP
Monday 17 February 2020 • 5:30 PM - 7:00 PM X-ray Source Technologies:
Location: Salon D/E
Fundamental Principles, Technological
Poster authors are required to: Advances, and Clinical Needs
• Display the poster early on the first day of your session. Sunday 16 February 2020 • 5:45 PM - 7:45 PM
Location: Salon A
• Attend the Poster Session to answer questions.
WK 1 TECHNICAL WORKSHOP: PHYSICS OF MEDICAL
See Poster Presentation Guidelines for additional information. IMAGING (CONFERENCE 11312)
Poster presentations from the following conferences will be included: The x-ray source is one of the key components in modern x-ray and
Physics of Medical Imaging; Computer-Aided Diagnosis; Image-Guided Computed Tomography (CT) imaging. X-ray beam characteristics have
Procedures, Robotic Interventions, and Modeling; Imaging Informatics a profound impact on conventional x-ray and CT image quality. For this
for Healthcare, Research, and Applications; and Ultrasonic Imaging workshop, expert speakers were invited to discuss the fundamentals
and Tomography conferences will be included. of conventional x-ray tubes, the physical principles that drive source
technological innovations, and finally the challenges and opportuni-
Author Set-Up Time: Sunday after 12:00 PM (noon)
ties of new x-ray source technology in current and future x-ray based
In order to be fully considered for a Poster Award, it is recommended medical imaging. Several blue sky short talks will introduce potentially
to have your poster up as soon as possible. impactful source technologies.
Posters should remain on display until the end of the Poster Session SPEAKERS:
on Monday. Rolf Behling, Phillips Medizin Systeme GmbH (Germany) -
Poster Session and Reception: Monday from 5:30 to 7:00 PM “Fundamentals of Conventional X-ray Tube Technologies”
NOTE: Extended poster viewing until 9:00 PM on Sunday. Paul Schwoebel, Univ. of New Mexico and SRI International (USA)
Poster award winners will be recognized and certificates distributed - “Fundamental Physics Principles that Drive New X-ray Source
in the conference meeting rooms. Check conference schedules for Developments”
times and locations. Ribbons will identify winning posters during the Norbert Pelc, Stanford Univ. (USA) - “Challenges and Opportunities
Poster Sessions. of X-ray Source Technologies in Present and Future Applications”
Blue Sky Talks To Be Announced
10 SPIE Medical Imaging 2020 • spie.org/mi20program • #SPIEMedicalImagingSpecial Events • Technical Events
TECHNICAL WORKSHOP TECHNICAL WORKSHOP
TECHNICAL WORKSHOP
Live Demonstrations Translation of Deep Learning
Sunday 16 February 2020 • 5:45 PM - 7:45 PM Technology to the Clinic Simulated Tumor Board: Brain and
Location: Salon D/E Tuesday 18 February 2020 • 5:00 PM - 7:00 PM Breast
WK 4 COMPUTER-AIDED DIAGNOSIS (CONFERENCE 11314) Location: Salon C Tuesday 18 February 2020 • 5:00 PM - 7:00 PM
Location: Salon B
WORKSHOP CHAIRS: WK 2 TECHNICAL WORKSHOP: IMAGE PROCESSING
Dr. Lubomir Hadjiiski, Univ. of Michigan Health System (USA) (CONFERENCE 11313) WK 3 TECHNICAL WORKSHOP: COMPUTER-AIDED
Dr. Karen Drukker, Univ. of Chicago (USA) Medical AI market is expected to break to 2 billion USD revenue DIAGNOSIS (CONFERENCE 11314) AND DIGITAL PATHOLOGY
within 5 years. Even though promising we still need to overcome (CONFERENCE 11320)
CALL FOR PARTICIPATION several barriers including technological robustness, clinical This workshop will present two example clinical cases, one breast
The goal of this workshop is to provide a forum for systems and validation, regulatory compliance, market acceptance and financial cancer case and one brain cancer case. A multi-disciplinary team will
algorithms developers to show off their creations. The intent is for risks. In a number of presentations we focus on the barriers discuss the case, the imaging information, pathology, and treatment
the audience to be inspired to conduct derivative research, for the and how to overcome these seen from start-up, regulators, and options. The workshop will mimic the format of a standard clinical
demonstrators to receive feedback and find new collaborators, and commercial perspectives. tumor board process with time for Q&A at the end.
for all to learn about the rapidly evolving field of medical imaging. MODERATOR:
PROGRAM:
The Live Demonstration Workshop encourages participation from all of Kristy Brock, PhD, DABR, FAAPM
5:00 PM: Introduction by Hayit Greenspan, Tel Aviv Univ. (Israel) Professor, Department of Imaging Physics and Department of
the conferences that comprise the SPIE Medical Imaging symposium. and Mads Nielsen, Univ. of Copenhagen (Denmark)
We encourage the CAD, Digital Pathology, Image Processing, Imaging Radiation Physics, Univ. of Texas MD Anderson Cancer Center (USA)
5:10 PM: Nico Karssemeijer - The start-up perspective
Informatics, Image Perception, Physics, and all other conferences to BREAST PANEL SPEAKERS:
5:35 PM: Stephen Aylward - The technology perspective
participate. Simona Shaitelman, Univ. of Texas MD Anderson Cancer Ctr.,
6:00 PM: Weijie Chen - The regulatory perspective Radiation Oncology (USA)
This workshop features interactive demonstrations that are comple- 6:25 PM: Ole Graumann - The radiologist perspective
mentary to the topics of SPIE Medical Imaging. Workshop demon- Isabelle Bedrosian, Univ. of Texas MD Anderson Cancer Ctr.,
6:50 PM: Discussion of learnings and Q & A Surgery (USA)
strations include samples, systems, and software demonstrations that
depict the implementation, operation, and utility of cutting-edge as Jennifer Litton, Univ. of Texas MD Anderson Cancer Ctr.,
SPEAKERS:
well as mature research. Having an accepted SPIE Medical Imaging Medical Oncology (USA)
Nico Karssemeijer, Radboud University Medical Ctr. (Netherlands) Wei Yang, Univ. of Texas MD Anderson Cancer Ctr.,
paper is not required for giving a Live Demonstration; however, authors
and Screenpoint (USA) Diagnostic Radiology (USA)
of SPIE Medical Imaging papers are encouraged to submit demonstra-
tions that are complementary to their oral and poster presentations. Stephen Aylward, Kitware, Inc. (USA) - Alejandro Contreras, Univ. of Texas MD Anderson Cancer Ctr.,
The session will include a Certificate of Merit Award presented to one “Delivering Clinical Deep Learning Algorithms” Pathology (USA)
demonstration considered to be of exceptional interest. We invite all Weijie Chen, U.S. Food and Drug Administration (USA) -
workshop visitors to vote for three of their favorite demonstrations, BRAIN PANEL SPEAKERS:
“Assessment of AI/ML based devices in medical imaging
with the final winner chosen from the top scorers by a group of ap- Caroline Chung, Univ. of Texas MD Anderson Cancer Ctr.,
applications”
pointed judges. Radiation Oncology (USA)
Ole Graumann, Odense Univ. Hospital (Denmark) - Jeff Weinberg, Univ. of Texas MD Anderson Cancer Ctr.,
“What deep learning technology does the clinic need?” Surgery (USA)
Melissa Chen, Univ. of Texas MD Anderson Cancer Ctr.,
Diagnostic Radiology (USA)
Jason Huse, Univ. of Texas MD Anderson Cancer Ctr.,
Pathology (USA)
11Special Events • Technical Events
TECHNICAL WORKSHOP Tuesday/Wednesday Poster Viewing
Task-driven AI: Taking into Account Wednesday 19 February 2020 • 5:30 PM - 7:00 PM
Location: Salon D/E
the User’s Perspective
Tuesday 18 February 2020 • 5:00 PM - 7:00 PM Two poster sessions are scheduled. See Poster Presentation Guidelines
Location: Salon A for additional information.
WK 5: TECHNICAL WORKSHOP: IMAGE PERCEPTION, Poster authors are required to:
OBSERVER PERFORMANCE, AND TECHNOLOGY
• Display the poster early on the first day of your session
ASSESSMENT CONFERENCE (CONFERENCE 11316) EQUITY
Machine learning and artificial intelligence techniques are exponen- • Attend the Poster Session to answer questions.
Is access to opportunities,
tially being developed and applied to a wide variety of scenarios See Poster Presentation Guidelines for additional information. fair treatment, and
in medical imaging ranging from image segmentation and analysis advancement for all
to analyzing radiologists’ reports to managing clinical workflow. Poster presentations from the following conferences will be included: people; it’s about
Although we are slowing seeing these applications integrated into Image Processing; Image Perception, Observer Performance, and eliminating barriers that
clinical workflow, much of the development work is still in the research Technology Assessment; Biomedical Applications in Molecular, Struc- prevent full participation.
stages. In order to bridge the gap between research and clinical inte- tural, and Functional Imaging; and Digital Pathology.
gration and implementation, a greater emphasis needs to be placed on Author Set-Up Time: Tuesday after 9:30 AM
understanding the impact of the output of these machine learning and In order to be fully considered for a Poster Award, it is recommended
DIVERSITY
AI schemes on the human decision-maker. This workshop will present to have your poster up as soon as possible. Includes all the ways in
a variety of perspectives on the role of AI and machine learning in which people differ—
Posters should remain on display until the end of the Poster Session
medical imaging from the perspective of the users. identity markers such as
on Wednesday.
race, ethnicity, gender,
MODERATORS:
Poster Session and Reception: Wednesday from 5:30 to 7:00 PM ability, sexual orientation,
Yan Chen, Univ. of Nottingham (United Kingdom) and more.
NOTE: Extended poster viewing until 9:00 PM on Tuesday.
Elizabeth A. Krupinski, Emory Univ. (USA)
Poster award winners will be recognized and certificates distributed
PANELISTS: in the conference meeting rooms. Check conference schedules for INCLUSION
Sian Taylor-Phillips, Univ. of Warwick (United Kingdom) times and locations. Ribbons will identify winning posters during the Goes beyond diversity:
Francine Jacobson, Brigham and Women’s Hospital (USA) Poster Sessions. it’s the act of creating
Elizabeth A. Krupinski, Emory Univ. (USA) an environment where
everyone feels welcomed,
respected, supported,
and valued.
spie.org/inclusion
12 SPIE Medical Imaging 2020 • spie.org/mi • #SPIEMedicalImaging• NOTE •
Special Events • Social and Networking Events SOME EVENTS
REQUIRE TICKETS AND
REGISTRATION.
Join your colleagues at various events, including the Student Dessert SEE INDIVIDUAL EVENTS
with the Experts, and Women’s Networking Lunch—events not to be missed! FOR DETAILS.
Equity, Diversity, and Inclusion Women’s Networking Luncheon Dessert with the Experts -
Presentation and Reception Monday 17 February 2020 • 12:10 PM - 1:20 PM A Student Networking Event
Location: Kingwood
Sunday 16 February 2020 • 5:30 PM - 7:00 PM Wednesday 19 February 2020 • 6:30 PM - 7:30 PM
Location: Salon F Sign up at registration before Monday morning coffee Location: Kingwood
break.
Open to those with a paid registration badge. Open to student conference attendees.
Join other women in the field for informal discussions and networking First come, first served.
Join us for a thought-provoking presentation and stay after to discuss
during the scheduled lunch on Monday. Enjoy a tasty dessert and casual atmosphere while networking with
topics with your colleagues during the reception.
some of the best and brightest minds in medical imaging. Exchange
ideas, share experiences, gain career advice, and make valuable
contacts at this complimentary student event.
THIS PDF PROGRAM IS CURRENT AS OF 20 JANUARY 2020. Find complete, up-to-date information and create your personalized schedule at spie.org/mi 13Special Events • Award Events
THE 2020 STUDENT PAPER AWARDS
2020 Poster Award Information Robert F. Wagner All-Conference Best
SPIE annually hosts the Best Student Poster presentation
Monday 17 February 2020 • 8:00 AM - 8:30 AM Student Paper Award
POSTER AWARDS IN CONFERENCE ROOMS Monday 17 February 2020 • 4:15 PM - 4:30 PM
contests, with certificates awarded. Some conferences host
Location: Salon F
Best Student Paper Awards with cash prizes supported by the Check the conference schedule for exact times.
generosity of our sponsors. Entrants are judged by a commit- The Robert F. Wagner All Conference Best Student Paper Award
tee of SPIE volunteers and winners are announced onsite. We
RFW AWARD FINALISTS: (established 2014) is an acknowledgement of his many important
RFW Award finalists will be recognized and certificates distributed in contributions to the Medical Imaging meeting and his many important
thank our many award sponsors.
the conference meeting rooms. See conference schedules for times advances in the field of medical imaging.
and locations.
CO-SPONSORED BY:
POSTER AWARDS:
Each conference will recognize selected poster presentations of ex-
ceptional quality at either the Cum Laude or Honorable Mention level.
Winners will be chosen by members of conference review committees.
The winning posters will be identified during the receptions with award Contributions by the Medical Imaging Community
ribbons. Winners will be recognized and certificates distributed in
the conference meeting rooms. See conference schedules for times Robert F. Wagner Award Finalists will be recognized with certificates
and locations. in their respective conference meeting rooms during the Awards
Sessions. See conference schedules for times and locations.
In addition, Cum Laude poster award recipients will be recognized
in the Proceedings of SPIE volumes and the following year’s Call for
Papers.
Image-Guided Procedures, Robotic
RECOGNITION LEVELS: Interventions, and Modeling Awards
Each conference will recognize 1 selected poster at the Cum Laude Tuesday 18 February 2020 • 12:10 PM - 12:15 PM
level and 1 selected poster at the Honorable Mention level for the Location: Hunter’s Creek
quality of work presented as well as the presentation.
Image-Guided Procedures, Robotic Interventions, and Modeling
BASIS FOR SELECTION: Young Scientist, Student Paper, and Poster Awards (Conference
Work should be of a standard of excellence as judged by the quality 11315)
and quantity of results presented. It should include results that are
YOUNG SCIENTIST AWARD
both significant and new to the field of study. Conclusions should be
well supported by the results, and relevant references should be cited. This award is specific to papers in the Image-Guided Procedures,
Robotic Interventions, and Modeling conference 11315.
Presentation should be well organized, clear, and concise. It should
be self-contained, giving adequate background, concise results, and The Young Scientist Award is a prize awarded to the first authors of
relevant references. Graphic design will be considered only to the high quality papers within the Image-Guided Procedures, Robotic
extent that it contributes to the clarity of presentation. Interventions, and Modeling conference.
A conference may give preference to first authors who are students SPONSORED BY:
or who are within five years of their terminal degrees.
14 SPIE Medical Imaging 2020 • spie.org/mi • #SPIEMedicalImagingImage-Guided Procedures Student Physics of Medical Imaging Student Image Processing Student Paper and
Paper Award Paper and Poster Awards Poster Awards
Wednesday 19 February 2020 • 9:40 AM - 9:45 AM Thursday 20 February 2020 • 12:10 PM - 12:15 PM
This award is specific to papers in the Image-Guided Procedures,
Location: Salon A Location: Salon C
Robotic Interventions, and Modeling Conference 11315.
Physics of Medical Imaging Student Paper Award (Conference 11312) Image Processing Student Paper Award (Conference 11313)
The Image-guided Procedures, Robotic Interventions and Modeling
conference is featuring a new paper award specifically dedicated to This award is specific to papers in the Physics of Medical Imaging This award is specific to papers in the Image Processing conference
recognize outstanding papers in the area of surgical robotics and conference 11312. 11313.
related topics. The student paper award is a prize awarded to the first authors of The student paper award is a prize awarded to the first authors of high
SPONSORED BY: high quality papers within the Physics of Medical Imaging conference. quality papers within the Image Processing conference.
SPONSORED BY: SPONSORED BY:
The award winners for both awards will be recognized in the confer-
ence room on Tuesday morning before the lunch break. The award winners will be recognized in the conference room before
POSTER PRESENTATION AWARDS lunch on Thursday.
The award winners will be recognized in the conference room before
SPONSORED BY: IMAGE PROCESSING POSTER PRESENTATION AWARD
the morning coffee break on Wednesday.
SPONSORED BY:
PHYSICS OF MEDICAL IMAGING POSTER PRESENTATION AWARDS
SPONSORED BY:
The Image-Guided Procedures, Robotic Interventions, and Modeling
conference will offer cash prizes as part of the poster presentation
The Image Processing conference will offer one cash prize as part of
awards. Poster presentations must be displayed early on the first
the poster presentation awards. Poster presentations must be dis-
day of the Sunday/Monday poster session to enter the competition. The Physics of Medical Imaging conference will offer cash prizes as
played early on the first day of the Tuesday/Wednesday poster session
The space will be available to display posters beginning at noon on part of the poster presentation awards. Poster presentations must be
to enter the competition. The space will be available to display posters
Sunday. Award announcements will take place in the conference room displayed early on the first day of the Sunday/Monday poster session
beginning at noon on Tuesday. Award announcements will take place
on Tuesday morning before the lunch break. to enter the competition. The space will be available to display posters
in the conference room before lunch on Thursday.
beginning at noon on Sunday. Award announcements will take place in
the conference room before the morning coffee break on Wednesday.
Poster session dates, locations, and times
SESSION CONFERENCES SETUP LOCATION SESSION TIME TEARDOWN
Sunday,
Monday 11312; 11314; 11315; 11318; 16 February Texan Ballroom, Monday,
11319 7:00 PM
17 February after 12:00 PM 4th Floor - Salon D 5:30 PM - 7:00 PM
(noon)*
Wednesday Tuesday,
18 February Texan Ballroom, Wednesday,
11313; 11316; 11317; 11320 7:00 PM
19 February 4th Floor - Salon D 5:30 PM - 7:00 PM
after 9:30 AM*
*In order to be fully considered for a Poster Award, it is recommended to have your poster up as soon as possible. Posters should remain on display until the end of the
Poster Session on either Monday or Wednesday.
THIS PDF PROGRAM IS CURRENT AS OF 20 JANUARY 2020. Find complete, up-to-date information and create your personalized schedule at spie.org/mi 15Daily Events Schedule
SATURDAY SUNDAY MONDAY TUESDAY WEDNESDAY THURSDAY
15 February 16 February 17 February 18 February 29 February 20 February
Conference 11312: Physics of Medical Imaging, p. 32
Chairs: Guang-Hong Chen, Univ. of Wisconsin-Madison (USA); Hilde Bosmans, Katholieke Univ. Leuven (Belgium)
CONFERENCE 11313: Image Processing, p. 32
Chairs: Ivana Išgum, Amsterdam UMC (Netherlands); Bennett A. Landman, Vanderbilt Univ. (USA)
SC086 Fundamentals of Medical Image Conference 11314: Computer-Aided Diagnosis, p. 32
Processing and Analysis (Deserno) Chairs: Horst K. Hahn, Fraunhofer MEVIS (Germany), Jacobs Univ. Bremen (Germany); Maciej A. Mazurowski, Duke Univ. (USA)
8:30 AM - 5:30 PM, $565 / $660, p. 20
SC1235 Introduction to Medical Image Conference 11315: Image-Guided Procedures, Robotic Interventions, and Modeling, p. 32
Analysis Using Convolutional Neural Chairs: Baowei Fei, The Univ. of Texas at Dallas (USA), The Univ. of Texas Southwestern Medical Ctr. (USA);
Networks (Wenzel, Weiler) 8:30 AM - Cristian A. Linte, Rochester Institute of Technology (USA)
5:30 PM, $595 / $690, p. 21
SC1292 Technological Assessment of Conference 11316: Image Perception, Observer Performance, and
X-Ray Based Breast Imaging Systems
Using Anthropomorphic Phantoms
Technology Assessment, p. 32
Chairs: Frank W. Samuelson, U.S. Food and Drug Administration (USA);
(Glick, Bosmans, Badal)
8:30 AM 12:30 PM, $325 / $380, p. 22 Sian Taylor-Phillips, The Univ. of Warwick (United Kingdom)
SC1129 Photon Counting CT (Danielsson, Conference 11318: Imaging Informatics for Healthcare, Conference 11317: Biomedical Applications in Molecular, Structural, and
Sjölin) 1:30 PM 5:30 PM, $325 / $380, Research, and Applications, p. 33 Functional Imaging, p. 33
p. 20
Chairs: Po-Hao Chen, Cleveland Clinic (USA); Thomas M. Deserno, Technische Chairs: Barjor Gimi, Cooper Medical School, Rowan Univ. (USA); Andrzej Krol, SUNY Upstate Medical Univ. (USA)
Univ. Braunschweig (Germany)
Conference 11319: Ultrasonic Imaging and Tomography, p. 33 Conference 11320: Digital Pathology, p. 33
Chairs: Brett C. Byram, Vanderbilt Univ. (USA); Nicole V. Ruiter, Karlsruher Institut für Technologie (Germany) Chairs: John E. Tomaszewski, Univ. at Buffalo (USA); Aaron D. Ward, The Univ. of
Western Ontario (Canada)
SC1262 Adversarial Networks: From KEYNOTE PRESENTATION: SC1295 From Analytic to Clinical KEYNOTE PRESENTATION: Image Processing Student Paper and
Architecture to Practical Training Shining light into the machine learning Validation: Moving AI/ML into Practice Towards understanding perception in the Poster Awards • Conf. 11313,
(Wenzel, Weiler) 8:30 AM - 12:30 PM, “black box”: the state of explainable AI • (Hsu, Brown, Nishikawa, Krupinski) latest era of AI in medical imaging 12:10 PM - 12:15 PM, p. 15
$325 / $380, p. 22 Conf. 11318, William Hsu, 8:30 AM - 5:30 PM, $565 / $660, p. 23 Conf. 11316, Maryellen Giger,
8:00 - 8:40 AM, p. 8 8:00 - 9:00 AM, p. 8
Sunday/Monday Poster Author Set-Up: SC987 Spectral CT Imaging SC1239 Virtual Clinical Trials: KEYNOTE PRESENTATION:
Sunday after 12:00 PM (NOON), p. 10 (Schmidt, Grant) 8:30 AM - 12:30 PM, An In-depth Tutorial (Maidment, Bakic, Bringing machine learning to the clinic:
$325 / $380, p. 24 Barufaldi) 8:30 AM - 12:30 PM, opportunities and challenges
$335 / $390, p. 22 Conf. 11313, Tim Leiner,
10:10 - 11:10 AM, p. 8
SC1296 High-Performance Computing KEYNOTE PRESENTATION: Tuesday/Wednesday Poster Author KEYNOTE PRESENTATION:
for Medical Imaging on Graphics Innovations and translation in molecular Set-Up: Tuesday after 9:30 AM, p. 14 Petascale computational pathology for
Processing Units (GPU) with CUDA PET/MR and PET/CT • Conf. 11312, precision medicine • Conf. 11320,
(Caucci) 1:30 PM - 5:30 PM, Georges El Fakhri, 10:10 - 10:50 AM, p. 8 Nasir Rajpoot, 1:20 - 2:20 PM, p. 9
$325 / $380, p. 24
KEYNOTE PRESENTATION: Women’s Networking Luncheon, KEYNOTE PRESENTATION:
Cybersecurity in healthcare: is our 12:10 - 1:20 PM, p. 13 Label-free molecular imaging with spins:
patients’ health now at risk? • Conf. a path to high resolution through learned
11318, Jim Whitfill, 3:30 - 4:30 PM, p. 8 subspaces • Conf. 11317,
Zhi-Pei Liang, 10:10 - 11:10 AM, p. 7
16 SPIE Medical Imaging 2020 • spie.org/mi • #SPIEMedicalImagingYou can also read
