Abstract
This PDF file contains the front matter associated with SPIE Proceedings Volume 9037, including the Title Page, Copyright information, Table of Contents, Introduction, and Conference Committee listing.

The papers included 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. The papers published in these proceedings 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 this book:

Author(s), “Title of Paper,” in Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment, edited by Claudia R. Mello-Thoms, Matthew A. Kupinski, Proceedings of SPIE Vol. 9037 (SPIE, Bellingham, WA, 2014) Article CID Number.

ISSN: 1605-7422

ISBN: 9780819498304

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Paper Numbering: Proceedings of SPIE follow an e-First publication model, with papers published first online and then in print and on CD-ROM. Papers are published as they are submitted and meet publication criteria. A unique, consistent, permanent citation identifier (CID) number is assigned to each article at the time of the first 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, print, and electronic versions of the publication. SPIE uses a six-digit CID article numbering system in which:

  • The first four 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. The complete citation is used on the first page, and an abbreviated version on subsequent pages. Numbers in the index correspond to the last two digits of the six-digit CID Number.

Conference Committee

Symposium Chairs

  • Ehsan Samei, Duke University (United States)

  • David Manning, Lancaster University (United Kingdom)

Conference Chairs

  • Claudia R. Mello-Thoms, The University of Sydney (Australia) and University of Pittsburgh (United States)

  • Matthew A. Kupinski, College of Optical Sciences, The University of Arizona (United States)

Conference Program Committee

  • Craig K. Abbey, University of California, Santa Barbara (United States)

  • François O. Bochud, Lausanne University Hospital (Switzerland)

  • Jovan G. Brankov, Illinois Institute of Technology (United States)

  • Alastair G. Gale, Loughborough University (United Kingdom)

  • Howard C. Gifford, University of Houston (United States)

  • Stephen L. Hillis, University of Iowa (United States)

  • Elizabeth A. Krupinski, The University of Arizona (United States)

  • Maciej A. Mazurowski, Duke University (United States)

  • Anthony J. Maeder, The University of Western Sydney (Australia)

  • Mark F. McEntee, The University of Sydney (Australia)

  • Subok Park, U.S. Food and Drug Administration (United States)

  • David L. Wilson, Case Western Reserve University (United States)

  • Federica Zanca, UZ Leuven (Belgium)

Session Chairs

  • 1 Keynote and Visual Search

    Claudia R. Mello-Thoms, The University of Sydney (Australia) and University of Pittsburgh (United States)

    Matthew A. Kupinski, College of Optical Sciences, The University of Arizona (United States)

  • 2 Image Perception

    Elizabeth A. Krupinski, The University of Arizona (United States)

  • 3 Observer Performance

    Howard C. Gifford, University of Houston (United States)

  • 4 Technology Assessment

    Jovan G. Brankov, Illinois Institute of Technology (United States)

  • 5 Model Observers: Imaging Applications

    Craig K. Abbey, University of California, Santa Barbara (United States)

  • 6 Observer Performance: Breast

    Patrick C. Brennan, The University of Sydney (Australia)

  • 7 Model Observers: General

    Subok Park, U.S. Food and Drug Administration (United States)

Awards

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Robert F. Wagner Award

Robert F. Wagner was an active scientist in the SPIE Medical Imaging meeting, starting with the first meeting in 1972 and continuing throughout his career. He ensured that the BRH, and subsequently the CDRH, was a sponsor for the early and subsequent Medical Imaging meetings, helping to launch and ensure the historical success of the meeting. The Robert F. Wagner All-Conference Best Student Paper Award (established 2014) is acknowledgment of his many important contributions to the Medical Imaging meeting and his many important advances to the field of medical imaging.

Sponsored by:

00001_psisdg9037_903701_page_13_2.jpg The Medical Image Perception Society

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2014 Recipients:

First Place: MRI signal and texture features for the prediction of MCI to Alzheimer’s disease progression (9035–78)

A. Martínez-Torteya, J. A. Rodriguez-Rojas, J. M. Celaya-Padilla, J. I. Galván-Tejada, V. M. Treviño-Alvarado, Sr., J. G. Tamez-Peña, Tecnológico de Monterrey (Mexico)

Second Place: Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation (9036–49)

G. Litjens, H. Huisman, Radbound Univ. Nijmegen Medical Ctr. (Netherlands); R. Elliot, Case Western Reserve Univ. (United States); N. Shih, M. Feldman, Univ. of Pennsylvania (United States); S. Viswnath, Case Western Reserve Univ. (United States); J. Futterrer, J. Bomers, Radboud Univ. Nijmegen Medical Ctr. (Netherlands); A. Madabhushi, Case Western Reserve Univ. (United States)

© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
"Front Matter: Volume 9037", Proc. SPIE 9037, Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment, 903701 (10 April 2014); https://doi.org/10.1117/12.2065130
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KEYWORDS
Medical imaging

Medicine

Visualization

Breast

Image quality

Tumor growth modeling

3D modeling

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