PROCEEDINGS OF SPIE Front Matter: Volume 12035
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PROCEEDINGS OF SPIE
SPIEDigitalLibrary.org/conference-proceedings-of-spie
Front Matter: Volume 12035
, "Front Matter: Volume 12035," Proc. SPIE 12035, Medical Imaging 2022:
Image Perception, Observer Performance, and Technology Assessment,
1203501 (20 April 2022); doi: 10.1117/12.2638123
Event: SPIE Medical Imaging, 2022, San Diego, California, United States
Downloaded From: https://www.spiedigitallibrary.org/conference-proceedings-of-spie on 27 Jun 2022 Terms of Use: https://www.spiedigitallibrary.org/terms-of-usePROGRESS IN BIOMEDICAL OPTICS AND IMAGING
Vol. 23 No. 51
Medical Imaging 2022
Image Perception, Observer
Performance, and Technology
Assessment
Claudia R. Mello-Thoms
Sian Taylor-Phillips
Editors
20–24 February 2022
San Diego, California, United States
21–27 March 2022
Online
Sponsored by
SPIE
Cooperating Organizations
American Association of Physicists in Medicine
International Foundation for Computer Assisted Radiology and Surgery
Medical Image Perception Society (United States)
Radiological Society of North America
Society for Imaging Informatics in Medicine (United States)
World Molecular Imaging Society
Published by
SPIE
Volume 12035
Proceedings of SPIE, 1605-7422, V. 12035
Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment, edited by
Claudia R. Mello-Thoms, Sian Taylor-Phillips, Proc. of SPIE Vol. 12035, 1203501
· © 2022 SPIE · 1605-7422 · doi: 10.1117/12.2638123
Proc. of SPIE Vol. 12035 1203501-1
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Terms of Use: https://www.spiedigitallibrary.org/terms-of-useThe papers in this volume were part of the technical conference cited on the cover and title page.
Papers were selected and subject to review by the editors and conference program committee.
Some conference presentations may not be available for publication. Additional papers and
presentation recordings may be available online in the SPIE Digital Library at SPIEDigitalLibrary.org.
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reliance thereon.
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Author(s), "Title of Paper," in Medical Imaging 2022: Image Perception, Observer Performance, and
Technology Assessment, edited by Claudia R. Mello-Thoms, Sian Taylor-Phillips, Proc. of SPIE 12035,
Seven-digit Article CID Number (DD/MM/YYYY); (DOI URL).
ISSN: 1605-7422
ISSN: 2410-9045 (electronic)
ISBN: 9781510649453
ISBN: 9781510649460 (electronic)
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vii Conference Committee
ARTIFICIAL INTELLIGENCE
12035 03 Developing interactive computer-aided detection tools to support translational clinical
research [12035-12]
12035 04 Assessment of manual and automated intracranial artery diameter measurements [12035-13]
12035 05 Analyzing neural networks applied to an anatomical simulation of the breast [12035-14]
12035 06 Using virtual clinical trials to determine the accuracy of AI-based quantitative imaging
biomarkers in oncology trials using standard-of-care CT [12035-15]
12035 07 Interpretable deep learning models for better clinician-AI communication in clinical
mammography [12035-16]
IMAGE PERCEPTION I
12035 08 Investigating reading strategies and eye behaviours associated with high diagnostic
performance when reading digital breast tomosynthesis (DBT) images [12035-1]
12035 09 Satisfaction of search (SOS) error and new lesions identification on imaging in central review
for clinical trials [12035-4]
MODEL OBSERVERS
12035 0A Optimizing model observer performance in learning-based CT reconstruction [12035-6]
12035 0B A deep Q-learning method for optimizing visual search strategies in backgrounds of dynamic
noise [12035-7]
12035 0C Individualized and generalized learner models for predicting missed hepatic metastases
[12035-8]
12035 0D Investigating the limited performance of a deep-learning-based SPECT denoising approach:
an observer-study-based characterization [12035-11]
iii
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Terms of Use: https://www.spiedigitallibrary.org/terms-of-useOBSERVER PERFORMANCE AND ROC METHODS
12035 0E Identical-test Roe and Metz simulation model for validating multi-reader methods of analysis
for comparing different radiologic imaging modalities [12035-17]
12035 0F Sequestration of imaging studies in MIDRC: a multi-institutional data commons [12035-18]
12035 0G MATLAB toolbox for ROC analysis of multi-reader multi-case diagnostic imaging studies
[12035-19]
12035 0H Diagnostic performances of radiology trainees in reading digital breast tomosynthesis and the
synthesized view [12035-20]
12035 0I Visual grading characteristic (VGC) analysis of uterine artery embolisation (UAE) image quality
assessment by interventional radiologists and interventional radiographers [12035-21]
12035 0J Using reader disagreement index as a tool for monitoring impact on read quality due to reader
fatigue in central reviewers [12035-22]
MONDAY MORNING KEYNOTES
12035 0K In between are the doors of perception (Keynote Paper) [12035-500]
TECHNOLOGY ASSESSMENT
12035 0L Breast density distribution among the Saudi screening population and correlation between
radiologist visual assessment and two automated methods [12035-23]
12035 0M No-gold-standard evaluation of quantitative imaging methods in the presence of correlated
noise [12035-24]
12035 0N Assessment of boundary discrimination performance in a printed phantom [12035-25]
12035 0O Evaluating procedures for establishing generative adversarial network-based stochastic image
models in medical imaging [12035-26]
TRANSLATION OF CAD-AI METHODS TO CLINICAL PRACTICE: ARE WE THERE YET? JOINT SESSION
WITH CONFERENCES 12033 AND 12035
12035 0P Is this good enough? On expert perception of brain tumor segmentation quality [12035-29]
12035 0Q Wait-time-saving analysis and clinical effectiveness of computer-aided triage and notification
(CADt) devices based on queueing theory [12035-30]
iv
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12035 0R The reliability of radiologists' first impression interpreting a screening mammogram [12035-31]
12035 0S Test-set training is linked to increased breast screening cancer detection rates [12035-32]
12035 0T Experience does not protect against missed incidental-findings in radiology [12035-33]
POSTER SESSION
12035 0U Comparison of performance in breast lesions classification using radiomics and deep transfer
learning: an assessment study [12035-35]
12035 0V Case-based repeatability and operating point variability of AI: breast lesion classification
based on deep transfer learning [12035-36]
12035 0W Assessment of a new CAD-generated imaging marker to predict risk of having
mammography-occult tumors [12035-37]
12035 0X Low-dose CT denoising via CNN trained using images with activation map [12035-38]
12035 0Y AI-based analysis of radiologist’s eye movements for fatigue estimation: a pilot study on chest
X-rays [12035-39]
12035 0Z Comparison of deep learning architectures for COVID-19 diagnosis using chest X-ray images
[12035-40]
12035 10 A task-informed model training method for deep neural network-based image denoising
[12035-41]
12035 11 Predicting human detection performance in magnetic resonance imaging (MRI) with total
variation and wavelet sparsity regularizers [12035-43]
12035 12 Learned Hotelling observers for use with multi-modal data [12035-44]
12035 13 Performance of list mode Hotelling observer and comparison to a neural network observer
[12035-45]
12035 14 Investigation of adversarial robust training for establishing interpretable CNN-based numerical
observers [12035-46]
12035 15 Performance evaluation of image quality metrics for perceptual assessment of low-dose
computed tomography images (Cum Laude Poster Award) [12035-47]
12035 16 Semi-blinded freehand 3D ultrasound with novice users [12035-48]
v
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Terms of Use: https://www.spiedigitallibrary.org/terms-of-use12035 17 Varying performance levels for diagnosing mammographic images depending on reader
nationality have AI and educational implications [12035-49]
12035 18 Diagnostic efficacy in screening mammograms does not improve with peer reading strategy:
a Sino-Australian study [12035-50]
12035 19 Influence of deep learning reconstruction on task-based model observer performance in CT:
an anthropomorphic head phantom study [12035-52]
12035 1A Task-specific evaluation of clinical pediatric fluoroscopy systems (Cum Laude Poster Award)
[12035-53]
12035 1B Visibility of noise texture changes in CT images [12035-54]
12035 1C Noise2Quality: non-reference, pixel-wise assessment of low dose CT image quality [12035-55]
12035 1D Camera-based distance detection and contact tracing to monitor potential spread of
COVID-19 [12035-56]
12035 1E High volume chest radiography to facilitate pulmonary nodule identification on chest
radiographs [12035-58]
vi
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Terms of Use: https://www.spiedigitallibrary.org/terms-of-useConference Committee
Symposium Chairs
Metin N. Gurcan, Wake Forest Baptist Medical Center (United States)
Robert M. Nishikawa, University of Pittsburgh (United States)
Conference Chairs
Claudia R. Mello-Thoms, University Iowa Carver College of Medicine
(United States) and University of Pittsburgh (United States)
Sian Taylor-Phillips, The University of Warwick (United Kingdom)
Conference Program Committee
Craig K. Abbey, University of California, Santa Barbara (United States)
Mark A. Anastasio, Washington University in St. Louis (United States)
Susan M. Astley, The University of Manchester (United Kingdom)
Jongduk Baek, Yonsei University (Korea, Republic of)
François O. Bochud, Center Hospitalier University Vaudois
(Switzerland)
Jovan G. Brankov, Illinois Institute of Technology (United States)
Yan Chen, Loughborough University (United Kingdom)
Brandon D. Gallas, U.S. Food and Drug Administration (United States)
Howard C. Gifford, University of Houston (United States)
Stephen L. Hillis, The University of Iowa (United States)
Elizabeth A. Krupinski, Emory University School of Medicine
(United States)
Matthew A. Kupinski, College of Optical Sciences, The University
of Arizona (United States)
Mark F. McEntee, University College Cork (Ireland)
Robert M. Nishikawa, University of Pittsburgh (United States)
Ljiljana Platiša, Universität Gent (Belgium)
Ingrid S. Reiser, The University of Chicago (United States)
Frank W. Samuelson, U.S. Food and Drug Administration
(United States)
Pontus A. Timberg, Scanias Universität Hospital (Sweden)
vii
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