Abstract
This PDF file contains the front matter associated with SPIE Proceedings Volume 12035, including the Title Page, Copyright information, and Table of Contents.

The 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.

The papers reflect the work and thoughts of the authors and are published herein as submitted. The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon.

Please use the following format to cite material from these proceedings:

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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Paper Numbering: A unique citation identifier (CID) number is assigned to each article in the Proceedings of SPIE at the time of publication. Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication. SPIE uses a seven-digit CID article numbering system structured as follows:

  • The first five digits correspond to the SPIE volume number.

  • The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters. These two-number sets start with 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 0A, 0B … 0Z, followed by 10-1Z, 20-2Z, etc. The CID Number appears on each page of the manuscript.

Conference 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)

© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
"Front Matter: Volume 12035", Proc. SPIE 12035, Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment, 1203501 (20 April 2022); https://doi.org/10.1117/12.2638123
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KEYWORDS
Medical imaging

Image quality

Data modeling

Performance modeling

3D image reconstruction

Image segmentation

Visual process modeling

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