Marriott Marquis Houston
Houston, Texas, United States
15 - 20 February 2020
Conference 11316
Image Perception, Observer Performance, and Technology Assessment
Wednesday - Thursday 19 - 20 February 2020
Important
Dates
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Abstract Due:
7 August 2019

Author Notification:
14 October 2019

Manuscript Due Date:
22 January 2020

Conference
Committee
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Conference Chairs
Program Committee
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Additional Conference
Information
SPIE Course Alert

See SPIE Course offerings on:
Image Perception, Observer Performance, and Technology Assessment

Pre-registration is required for SPIE Courses.
Monday 17 February Show All Abstracts
Session Plen:
Awards and Plenary Session
Monday 17 February 2020
4:00 PM - 5:15 PM
Location: Salon F

Session Chairs: Metin N. Gurcan, Wake Forest Baptist Medical Ctr. (United States) and Georgia D. Tourassi, Oak Ridge National Lab. (United States)

4:00 PM - 4:30 PM: Award presentations
Are today's Mixed Reality experience pillars and hardware architectures well aligned with the specific needs of medical imaging and surgical guidance? (Plenary Presentation)
Paper 11313-8
Time: 4:30 PM - 5:15 PM
Author(s): Bernard C. Kress, Microsoft Corp. (United States)
Show Abstract
Tuesday 18 February Show All Abstracts
Tuesday/Wednesday Poster Viewing
Tuesday 18 February 2020
12:00 PM - 9:00 PM
Location: Salon D/E

Posters will be on display Tuesday and Wednesday with extended viewing until 9:00 pm on Tuesday. The poster session with authors in attendance will be Wedneday evening from 5:30 to 7:00 pm. Award winners will be identified with ribbons during the reception. Award announcement times are listed in the conference schedule.
Session WK5:
Workshop: Task-driven AI: Taking into Account the User's Perspective
Tuesday 18 February 2020
5:00 PM - 7:00 PM
Location: Salon A

Machine learning and artificial intelligence techniques are exponentially being developed and applied to a wide variety of scenarios in medical imaging ranging from image segmentation and analysis to analyzing radiologists’ reports to managing clinical workflow. Although we are slowing seeing these applications integrated into clinical workflow, much of the development work is still in the research stages. In order to bridge the gap between research and clinical integration and implementation, a greater emphasis needs to be placed on understanding the impact of the output of these machine learning and AI schemes on the human decision-maker. This workshop will present a variety of perspectives on the role of AI and machine learning in medical imaging from the perspective of the users.

Moderators:
Yan Chen, Univ. of Nottingham (United Kingdom)
Elizabeth A. Krupinski, Emory Univ. (United States)

Panelists:
Sian Taylor-Phillips, Univ. of Warwick (United Kingdom)
Francine Jacobson, Brigham and Women's Hospital (United States)
Elizabeth A. Krupinski, Emory Univ. (United States)
Wednesday 19 February Show All Abstracts
Session 1:
The Annual Harold L. Kundel Honorary Lecture
Wednesday 19 February 2020
8:00 AM - 9:40 AM
Location: Briargrove
Session Chairs:
Claudia R. Mello-Thoms, Univ. Iowa Carver College of Medicine (United States) ;
Elizabeth A. Krupinski, Emory Univ. School of Medicine (United States)
Towards understanding perception in the latest era of AI in medical imaging (Keynote Presentation)
Paper 11316-1
Time: 8:00 AM - 9:00 AM
Author(s): Maryellen L. Giger, The Univ. of Chicago (United States)
Show Abstract
Observers, artificial intelligence, and genuine ignorance (Invited Paper)
Paper 11316-2
Time: 9:00 AM - 9:40 AM
Author(s): Harold L. Kundel, Univ. of Pennsylvania (United States)
Show Abstract
Coffee Break 9:40 AM - 10:10 AM
Session 2:
Oberver Performance Evaluation
Wednesday 19 February 2020
10:10 AM - 12:10 PM
Location: Briargrove
Session Chairs:
Mark F. McEntee, The Univ. of Sydney (Ireland) ;
Susan M. Astley, The Univ. of Manchester (United Kingdom)
A closer look at inter-reader variability
Paper 11316-3
Time: 10:10 AM - 10:30 AM
Author(s): Robert M. Nishikawa, Univ. of Pittsburgh (United States)
Show Abstract
Where’s WALDO: a potential tool for training radiology residents?
Paper 11316-4
Time: 10:30 AM - 10:50 AM
Author(s): Elizabeth A. Krupinski, Henry Zhan, Emory Univ. School of Medicine (United States); Sadaf Sahraian, Elham Beheshtian, Robert Morales, David Yousem, Johns Hopkins Univ. (United States)
Show Abstract
Understanding digital pathology performance: an eye tracking study
Paper 11316-5
Time: 10:50 AM - 11:10 AM
Author(s): Amanda Koh, The Univ. of Nottingham (United Kingdom); Alastair Gale, Loughborough Univ. (United Kingdom); Yan Chen, The Univ. of Nottingham (United Kingdom); David Snead, Univ. Hospitals Coventry and Warwickshire NHS Trust (United Kingdom)
Show Abstract
Effect of time of day on radiology image interpretations
Paper 11316-6
Time: 11:10 AM - 11:30 AM
Author(s): Abdulaziz S. Alshabibi, The Univ. of Sydney (Australia), King Saud Univ. (Saudi Arabia); Moayyad E. Suleiman, Kriscia A. Tapia, Robert Heard, Patrick C. Brennan, The Univ. of Sydney (Australia)
Show Abstract
Blue light filtering glasses and computer vision syndrome: a pilot study
Paper 11316-7
Time: 11:30 AM - 11:50 AM
Author(s): Alexander Dabrowiecki, Alexander Villalobos, Elizabeth A. Krupinski, Emory Univ. School of Medicine (United States)
Show Abstract
Using “Reader Disagreement Index” as a predictive reviewer performance monitoring tool for timely intervention
Paper 11316-8
Time: 11:50 AM - 12:10 PM
Author(s): Manish Sharma, PAREXEL International Corp. (India); J. Michael O'Connor, PAREXEL International Corp. (United States), Univ. of Massachusetts Lowell (United States); Anitha Singareddy, PAREXEL International (India) Private Ltd. (India); Sayali Karve, Nicholas Enus, PAREXEL International Corp. (United States); Kassel Fotinos-Hoyer, PAREXEL International GmbH (Germany); Yibin Shao, PAREXEL China Co., Ltd. (China)
Show Abstract
Lunch Break 12:10 PM - 1:20 PM
Session 3:
Model Observers I
Wednesday 19 February 2020
1:20 PM - 3:00 PM
Location: Briargrove
Session Chairs:
Stephen L. Hillis, The Univ. of Iowa (United States) ;
Howard C. Gifford, Univ. of Houston (United States)
Supervised learning of model observers for assessment of CT image reconstruction algorithms
Paper 11316-9
Time: 1:20 PM - 1:40 PM
Author(s): Gregory Ongie, Emil Y. Sidky, Ingrid S. Reiser, Xiaochuan Pan, The Univ. of Chicago (United States)
Show Abstract
Autoencoder dual loss: a generalized method for computing task-specific efficient channels for the Hotelling Observer
Paper 11316-10
Time: 1:40 PM - 2:00 PM
Author(s): Jason L. Granstedt, Weimin Zhou, Washington Univ. in St. Louis (United States); Mark A. Anastasio, Univ. of Illinois (United States)
Show Abstract
Markov-Chain Monte Carlo approximation of the Ideal Observer using generative adversarial networks
Paper 11316-11
Time: 2:00 PM - 2:20 PM
Author(s): Weimin Zhou, Washington Univ. in St. Louis (United States); Mark A. Anastasio, Univ. of Illinois (United States)
Show Abstract
Deep learning-based model observers that replicate human observers for PET imaging
Paper 11316-12
Time: 2:20 PM - 2:40 PM
Author(s): Fenglei Fan, Sangtae Ahn, Bruno De Man, GE Global Research (United States); Kristen A. Wangerin, Scott D. Wollenweber, GE Healthcare (United States); Craig K. Abbey, Univ. of California, Santa Barbara (United States); Paul E. Kinahan, Univ. of Washington (United States)
Show Abstract
Deep learning based model observer by U-Net
Paper 11316-13
Time: 2:40 PM - 3:00 PM
Author(s): Jovan G. Brankov, Iris Lorente, Illinois Institute of Technology (United States); Craig Abbey, University of California (United States)
Show Abstract
Coffee Break 3:00 PM - 3:30 PM
Session 4:
Breast
Wednesday 19 February 2020
3:30 PM - 4:50 PM
Location: Briargrove
Session Chairs:
Sian Taylor-Phillips, The Univ. of Warwick (United Kingdom) ;
François O. Bochud, Ctr. Hospitalier Univ. Vaudois (Switzerland)
Sequential reading effects in Dutch screening mammography
Paper 11316-14
Time: 3:30 PM - 3:50 PM
Author(s): Craig K. Abbey, Univ. of California, Santa Barbara (United States); Michael A. Webster, Univ. of Nevada, Reno (United States); Tanya Geertse, Danielle van der Waal, Eric Tetteroo, Ruud Pijnappel, Mireille J. M. Broeders, Ioannis Sechopoulos, LRCB (Netherlands)
Show Abstract
Breast density in Saudi Arabia: intra- and inter-reader variability in breast density assessed visually in screening mammograms using BI-RADS categories and visual analogue scales
Paper 11316-15
Time: 3:50 PM - 4:10 PM
Author(s): Areej S. Aloufi, The Univ. of Manchester (United Kingdom), King Saud Univ. (Saudi Arabia); Abdulrahman AlNaeem, Abeer Almousa, King Fahad Medical City (Saudi Arabia); Khaled Alzimami, Abdulrahman Alfuraih, King Saud Univ. (Saudi Arabia); Bader Alshahrani, Mohammed Zayed, King Khalid Univ. Hospital (Saudi Arabia); Taghrid AlMashouq, King Fahad Medical City (Saudi Arabia); Saud Alnasser, Khera Aldossari, Mona Alomrani, King Khalid Univ. Hospital (Saudi Arabia); Iman Alzahrani, King Fahad Medical City (Saudi Arabia); Elaine Harkness, Susan Astley, The Univ. of Manchester (United Kingdom)
Show Abstract
Repeatability profiles towards consistent sensitivity and specificity levels for machine learning on breast DCE-MRI
Paper 11316-16
Time: 4:10 PM - 4:30 PM
Author(s): Amy Van Dusen, Michael Vieceli, Wheaton College (United States); Karen Drukker, Hiroyuki Abe, Maryellen L. Giger, The Univ. of Chicago (United States); Heather M. Whitney, Wheaton College (United States), The Univ. of Chicago (United States)
Show Abstract
Investigating the Potential of a Gist-sensitive Computer-aided Detection Tool
Paper 11316-17
Time: 4:30 PM - 4:50 PM
Author(s): Ziba Gandomkar, Ernest Ekpo, Sarah Lewis, Moayyad Suleiman, Kriscia Tapia, Tong Li, Seyedamir Tavakoli Taba, Phuong Dung Trieu, Patrick Brennan, The Univ. of Sydney (Australia)
Show Abstract
Session PSWed:
Wednesday Poster Session
Wednesday 19 February 2020
5:30 PM - 7:00 PM
Location: Salon D/E
Brain vasculature segmentation based on human perception criteria
Paper 11316-33
Time: 5:30 PM - 7:00 PM
Author(s): Julia Guillou, Romain Bourcier, Florent Autrusseau, Univ. de Nantes (France)
Show Abstract
Observer-driven texture analysis in CT imaging
Paper 11316-34
Time: 5:30 PM - 7:00 PM
Author(s): Matthew A. Kupinski, Zachary Garrett, Wyant College of Optical Sciences (United States); Jiahua Fan, GE Healthcare (United States)
Show Abstract
Implementation of an anthropomorphic model observer using convolutional neural network for breast tomosynthesis images
Paper 11316-35
Time: 5:30 PM - 7:00 PM
Author(s): Changwoo Lee, Korea Research Institute of Standards and Science (Korea, Republic of); Jongduk Baek, Yonsei Univ. (Korea, Republic of)
Show Abstract
A performance comparison of convolutional neural network based anthropomorphic model observer and linear model observer for signal-known statistically detection tasks
Paper 11316-36
Time: 5:30 PM - 7:00 PM
Author(s): Minah Han, Byeongjoon Kim, Jongduk Baek, Yonsei Univ. (Korea, Republic of)
Show Abstract
Human visual property based grayscale contrast enhancement: phantom-based effectiveness assessment
Paper 11316-37
Time: 5:30 PM - 7:00 PM
Author(s): Wei Zhou, Yi Tian, Zhenyu Fei, Yougu Yang, Siemens Shanghai Medical Equipment Ltd. (China)
Show Abstract
Perceptual image quality in digital dermoscopy
Paper 11316-38
Time: 5:30 PM - 7:00 PM
Author(s): Ali R. N. Avanaki, Barco, Inc. (United States)
Show Abstract
Combined global and local information for blind CT image quality assessment via deep learning
Paper 11316-39
Time: 5:30 PM - 7:00 PM
Author(s): Qi Gao, Sui Li, Manman Zhu, Danyang Li, Zhaoying Bian, Southern Medical Univ. (China); Qingwen Lv, Zhujiang Hospital of the Southern Medical Univ. (China); Dong Zeng, South China Univ. of Technology (China); Jianhua Ma, Southern Medical Univ. (China)
Show Abstract
ResNet18 for generic DBT image quality evaluation
Paper 11316-40
Time: 5:30 PM - 7:00 PM
Author(s): Dimitar Petrov, Nicholas Marshall, Hilde Bosmans, KU Leuven (Belgium)
Show Abstract
Evaluation of convolutional neural networks for search in filtered noise and digital breast tomosynthesis phantoms
Paper 11316-41
Time: 5:30 PM - 7:00 PM
Author(s): Aditya Jonnalagadda, Miguel A. Lago, Univ. of California, Santa Barbara (United States); Bruno Barufaldi, Predrag R. Bakic, Univ. of Pennsylvania (United States); Craig K. Abbey, Univ. of California, Santa Barbara (United States); Andrew D. A. Maidment, Univ. of Pennsylvania (United States); Miguel P. Eckstein, Univ. of California, Santa Barbara (United States)
Show Abstract
Automatic detection of simulated motion blur in digital mammograms
Paper 11316-42
Time: 5:30 PM - 7:00 PM
Author(s): Nada Kamona, Murray H. Loew, The George Washington Univ. (United States)
Show Abstract
Spectral assessment of radiation therapy-induced skin erythema
Paper 11316-43
Time: 5:30 PM - 7:00 PM
Author(s): Ramy M. Y. M. Abdlaty, Military Technical College (Egypt); Ahmed Awad Allah Aboelela, Egyptian Armed Forces (Egypt)
Show Abstract
Thursday 20 February Show All Abstracts
Session 5:
ROC Methodology
Thursday 20 February 2020
8:20 AM - 9:40 AM
Location: Briargrove
Session Chairs:
Robert M. Nishikawa, Univ. of Pittsburgh (United States) ;
Craig K. Abbey, Univ. of California, Santa Barbara (United States)
Multi-reader multi-case analysis of variance software for diagnostic performance comparison of imaging modalities
Paper 11316-18
Time: 8:20 AM - 8:40 AM
Author(s): Brian J. Smith, Stephen L. Hillis, The Univ. of Iowa (United States)
Show Abstract
Efficiently calculating ROC curves, AUC, and uncertainty from 2AFC studies with finite samples
Paper 11316-19
Time: 8:40 AM - 9:00 AM
Author(s): Frank W. Samuelson, U.S. Food and Drug Administration (United States); Dylan H. Shekter, Univ. of Maryland, College Park (United States)
Show Abstract
Simulation of multi-reader multi-case study data with realistic ROC performance characteristics
Paper 11316-20
Time: 9:00 AM - 9:20 AM
Author(s): Xiaochen Zhu, George Mason Univ. (United States); Weijie Chen, U.S. Food and Drug Administration (United States)
Show Abstract
Determining Roe and Metz model parameters for simulation MRMC data based on read-data or conjectured parameter estimates
Paper 11316-21
Time: 9:20 AM - 9:40 AM
Author(s): Stephen L. Hillis, The Univ. of Iowa (United States)
Show Abstract
Award Announcements
Thursday 20 February 2020
9:40 AM - 9:45 AM

The Image Perception, Observer Performance, and Technology Assessment conference RFW finalists and poster award recipients will be recognized with certificates distributed.
Coffee Break 9:45 AM - 10:10 AM
Session 6:
Technology Assessment
Thursday 20 February 2020
10:10 AM - 12:10 PM
Location: Briargrove
Session Chairs:
Mark A. Anastasio, Univ. of Illinois (United States) ;
Yan Chen, Loughborough Univ. (United Kingdom)
Network output visualization to uncover limitations of deep learning detection of pneumothorax
Paper 11316-22
Time: 10:10 AM - 10:30 AM
Author(s): Jennie Crosby, Sophia Chen, Feng Li, Heber MacMahon, Maryellen Giger, The Univ. of Chicago (United States)
Show Abstract
Towards a video quality assessment based framework for enhancement of laparoscopic videos
Paper 11316-23
Time: 10:30 AM - 10:50 AM
Author(s): Zohaib Amjad Khan, Azeddine Beghdadi, Univ. Paris 13 (France); Faouzi Alaya Cheikh, Norwegian Univ. of Science and Technology (Norway); Mounir Kaaniche, Univ. Paris 13 (France); Egidijus Pelanis, Oslo Univ. Hospital (Norway); Rafael Palomar, Norwegian Univ. of Science and Technology (Norway); Åsmund Avdem Fretland, Bjørn Edwin, Ole Jakob Elle, Oslo Univ. Hospital (Norway)
Show Abstract
Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements
Paper 11316-24
Time: 10:50 AM - 11:10 AM
Author(s): Weimin Zhou, Sayantan Bhadra, Washington Univ. in St. Louis (United States); Frank J. Brooks, Hua Li, Mark A. Anastasio, Univ. of Illinois (United States)
Show Abstract
Performance assessment of texture reproduction in high-resolution CT
Paper 11316-25
Time: 11:10 AM - 11:30 AM
Author(s): Hui Shi, Grace Gang, Junyuan Li, Eleni Liapi, Johns Hopkins Univ. (United States); Craig Abbey, Univ. of California, Santa Barbara (United States); Joseph W. Stayman, Johns Hopkins Univ. (United States)
Show Abstract
Supplementing training with data from a shifted distribution for machine learning classifiers: adding more cases may not always help
Paper 11316-26
Time: 11:30 AM - 11:50 AM
Author(s): Kenny H. Cha, Alexej Gossmann, Nicholas Petrick, Berkman Sahiner, U.S. Food and Drug Administration (United States)
Show Abstract
Effect of observer variability and training cases on U-Net segmentation performance
Paper 11316-27
Time: 11:50 AM - 12:10 PM
Author(s): Jordan Fuhrman, The Univ. of Chicago (United States); Peter Halloran, Univ. of Notre Dame (United States); Rowena Yip, Artit C. Jirapatnakul, Claudia Henschke, David Yankelevitz, Mount Sinai School of Medicine (United States); Maryellen Giger, The Univ. of Chicago (United States)
Show Abstract
Lunch Break 12:10 PM - 1:20 PM
Session 7:
Model Observers II
Thursday 20 February 2020
1:20 PM - 3:00 PM
Location: Briargrove
Session Chairs:
Matthew A. Kupinski, Wyant College of Optical Sciences (United States) ;
Jovan G. Brankov, Illinois Institute of Technology (United States)
Human observer templates for lesion discrimination tasks
Paper 11316-28
Time: 1:20 PM - 1:40 PM
Author(s): Craig K. Abbey, Univ. of California, Santa Barbara (United States); Frank W. Samuelson, Rongping Zeng, U.S. Food and Drug Administration (United States); John M. Boone, UC Davis Medical Ctr. (United States); Miguel P. Eckstein, Univ. of California, Santa Barbara (United States); Kyle J. Myers, U.S. Food and Drug Administration (United States)
Show Abstract
Foveated model observer to predict human search performance with virtual digital breast tomosynthesis phantoms
Paper 11316-29
Time: 1:40 PM - 2:00 PM
Author(s): Miguel A. Lago, Univ. of California, Santa Barbara (United States); Bruno B. Barufaldi, Predrag R. Bakic, Univ. of Pennsylvania (United States); Craig K. Abbey, Univ. of California, Santa Barbara (United States); Andrew D. A. Maidment, Univ. of Pennsylvania (United States); Miguel P. Eckstein, Univ. of California, Santa Barbara (United States)
Show Abstract
Learning numerical observers using unsupervised domain adaptation
Paper 11316-30
Time: 2:00 PM - 2:20 PM
Author(s): Shenghua He, Weimin Zhou, Washington Univ. in St. Louis (United States); Hua Li, Mark Anastasio, Univ. of Illinois (United States)
Show Abstract
Deep learning channelized Hotelling Observer for generic DBT system image quality evaluation
Paper 11316-31
Time: 2:20 PM - 2:40 PM
Author(s): Dimitar Petrov, Nicholas Marshall, Hilde Bosmans, KU Leuven (Belgium)
Show Abstract
Convolutional neural network-based anthropomorphic model observer for breast cone-beam CT images
Paper 11316-32
Time: 2:40 PM - 3:00 PM
Author(s): Byeongjoon Kim, Minah Han, Jongduk Baek, Yonsei Univ. (Korea, Republic of)
Show Abstract
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