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18 October 2022 This PDF file contains the front matter associated with SPIE Proceedings Volume 12304, including the Title Page, Copyright information, Table of Contents, and Conference Committee lists.
Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 1230401 (2022) https://doi.org/10.1117/12.2662172
Event: Seventh International Conference on Image Formation in X-Ray Computed Tomography (ICIFXCT 2022), 2022, Baltimore, United States
Abstract
This PDF file contains the front matter associated with SPIE Proceedings Volume 12304, including the Title Page, Copyright information, Table of Contents, and Conference Committee lists.

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 7th International Conference on Image Formation in X-Ray Computed Tomography, edited by Joseph Webster Stayman, Proc. of SPIE 12304, Seven-digit Article CID Number (DD/MM/YYYY); (DOI URL).

ISSN: 0277-786X

ISSN: 1996-756X (electronic)

ISBN: 9781510656697

ISBN: 9781510656703 (electronic)

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Conference Committee

Conference Chair

  • Joseph Webster Stayman, Johns Hopkins University (United States)

Organizing Committee

  • Grace J. Gang, Chair, Johns Hopkins University (United States)

  • Junyuan Li, Johns Hopkins University (United States)

  • Yiqun Q. Ma, Johns Hopkins University (United States)

  • Alejandro Sisniega, Johns Hopkins University (United States)

  • Matthew Tivnan, Johns Hopkins University (United States)

  • Wenying Wang, Johns Hopkins University (United States)

  • Yijie Yuan, Johns Hopkins University (United States)

  • Wojciech Zbijewski, Johns Hopkins University (United States)

Program Committee

  • Adam Wang, Stanford University (United States)

  • Bruno De Man, GE Research (United States)

  • Cristian Badea, Duke University (United States)

  • Cyril Riddell, GE Healthcare (France)

  • Emil Sidky, University of Chicago (United States)

  • Frédéric Noo, University of Utah (United States)

  • Ge Wang, Rensselaer Polytechnic Institute (United States)

  • Guang-Hong Chen, University of Wisconsin-Madison (United States)

  • Hengyong Yu, University of Massachusetts Lowell (United States)

  • Hiroyuki Kudo, University of Tsukuba (Japan)

  • Ioannis Sechopoulos, Radboud University (Netherlands)

  • Jeff Fessler, University of Michigan (United States)

  • Jeff Siewerdsen, Johns Hopkins University (United States)

  • Jerome Liang, Stony Brook University (United States)

  • Jing Wang, University of Texas Southwestern (United States)

  • Jingyan Xu, Johns Hopkins University (United States)

  • Johan Nuyts, KU Leuven (Belgium)

  • John Boone, University of California, Davis (United States)

  • Jongduk Baek, Yonsei University (South Korea)

  • Karl Stierstorfer, Siemens Healthineers (Germany)

  • Katsuyuki Taguchi, Johns Hopkins University (United States)

  • Ke Li, University of Wisconsin-Madison (United States)

  • Ken Sauer, University of Notre Dame (United States)

  • Kirsten Boedeker, Canon Medical Systems (United States)

  • Lifeng Yu, Mayo Clinic (United States)

  • Marc Kachelrieß, German Cancer Research Center (Germany)

  • Mats Danielsson, KTH Royal Institute of Technology (Sweden)

  • Michael McNitt-Gray, University of California, Los Angeles (United States)

  • Peter Noël, University of Pennsylvania (United States)

  • Rongping Zeng, U.S. Food and Drug Administration (United States)

  • Scott Hsieh, Mayo Clinic (United States)

  • Srinivasan Vedantham, University of Arizona (United States)

  • Stanislav Zabic, Philips (United States)

  • Stefan Sawall, German Cancer Research Center (Germany)

  • Thomas Koehler, Philips Research Hamburg (Germany)

  • Thomas Koenig, Ziehm Imaging (Germany)

  • Joseph Webster Stayman, Johns Hopkins University (United States)

  • Wenli Wang, Avant Tomography Consulting LLC (United States)

  • Xiaochuan Pan, University of Chicago (United States)

  • Xun Jia, University of Texas Southwestern (United States)

  • Yuxiang Xing, Tsinghua University (China)

  • Zhicong Yu, Accuray (United States)

  • Zhou Yu, Canon Medical Research (United States)

  • Zhye Yin, GE Research (United States)

Session Chairs

  • 1 Novel CT Technologies

    Bruno De Man, GE Research (United States)

    Ke Li, University of Wisconsin-Madison (United States)

  • 2 Reconstruction and Deep Learning

    Marc Kachelrieß, German Cancer Research Center (Germany)

    Koen Michielsen, Radboud University (Netherlands)

  • 3 CT Acquisition

    Adam Wang, Stanford University (United States)

    Rolf Clackdoyle, Université Grenoble Alpes (France)

  • 4 Spectral CT

    Kevin Brown, Philips (United States)

    Cristian Badea, Duke University (United States)

  • 5 Artifacts and Sparse CT

    Xiaochuan Pan, University of Chicago (United States)

    Jerome Liang, Stony Brook University (United States)

  • 6 Modeling and Assessment

    Grace J. Gang, Johns Hopkins University (United States)

    Kirsten Boedeker, Canon Medical Systems (United States)

  • 7 Deep Learning Assessment

    Saiprasad Ravishankar, Michigan State University (United States)

    Rongping Zeng, U.S. Food and Drug Administration (United States)

  • 8 Spectral and Polyenergetic CT Reconstruction

    Emil Sidky, University of Chicago (United States)

    Johan Sunnegårdh, Siemens Healthineers (Germany)

  • 9 Interventional Imaging

    Cyril Riddell, GE Healthcare (France)

  • 10 Cardiac CT and Motion Compensation

    Katsuyuki Taguchi, Johns Hopkins University (United States)

    Simon Rit, CREATIS, Université de Lyon (France)

© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
"This PDF file contains the front matter associated with SPIE Proceedings Volume 12304, including the Title Page, Copyright information, Table of Contents, and Conference Committee lists.", Proc. SPIE 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography, 1230401 (18 October 2022); https://doi.org/10.1117/12.2662172
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KEYWORDS
X-ray computed tomography

Imaging systems

Reconstruction algorithms

3D image reconstruction

CT reconstruction

Data modeling

Tumor growth modeling

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