Medical Imaging and Radiological Health: Contributions of Dr. Robert F. Wagner

February 11, 2009

Joint special session of the

Conference on Computer-aided Diagnosis and

Conference on Image Perception, Observer Performance, and Technology Assessment

Session chair: Kyle J. Myers

During more than forty years of professional life, Dr. Robert F. Wagner made numerous contributions to the field of medical imaging that significantly impacted academia, industry, and the regulatory science. Bob’s early work was devoted to the application of statistical decision theory to the evaluation of images degraded by measurement noise. He considered many modalities, tasks, and both human and machine observers, building broad consensus on a new, rigorous approach to the definition of image quality in medical imaging. Next, Bob and his colleagues took up the problem of patient variability, an additional source of “noise” in medical images. He then considered how to apply this same decision theoretic approach to the assessment of imaging systems confounded by artifacts. Most recently he was concerned with reader variability - where the readers could be doctors with a range of skills, or a set of computer algorithms trained with limited data. His unified approach created order out of the many problems of increasing complexity he tackled in his brilliant and memorable career.

Bob’s first decade: in the beginning,

Dave Brown, Ctr. for Devices and Radiological Health

slides paper

Statistical ultrasonics: the influence of Robert F. Wagner,

Michael F. Insana, Univ. of Illinois at Urbana-Champaign

slides paper

NEQ: its progenitors and progeny,

Harrison H. Barrett, College of Optical Sciences/The Univ. of Arizona

slides paper

Performance-based assessment of reconstructed images,

Kenneth M. Hanson, Los Alamos National Laboratory

slides paper

Finding order in complexity,

Kyle J. Myers, U.S. Food and Drug Administration

slides paper

All papers referenced here were published in volume 7263 of the Proceedings of the SPIE.