The University of Arizona
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Low-resource Assessment of Diagnostic Imaging Technologies

TRIPODS Seminar

Low-resource Assessment of Diagnostic Imaging Technologies
Series: TRIPODS Seminar
Location: Online
Presenter: Howard C. Gifford, University of Houston, Biomedical Engineering

Abstract

Diagnostic applications in medical imaging have grown at a phenomenal pace over the past few decades. Significant areas of current research include radiological dose reduction, digital pathology, image-informed therapy, and multimodality systems. The ability to efficiently and reliably assess and optimize the performance of new and developing imaging technology (both hardware and algorithms) can help guide the many research, regulatory, and clinical applications. We will cover objective performance measures for a variety of diagnostic imaging tasks and also discuss the common need for such assessments under low-resource conditions with small data sets. Trained human observers (i.e., clinicians) play an important but complicated role in medical imaging assessments. New adaptive mathematical models being developed in our lab have shown promise as human surrogates.

Biography

Dr. Gifford received a BS in applied physics from Harvey Mudd College and a PhD in applied mathematics from the University of Arizona. He was a postdoctoral fellow and research faculty member in the nuclear medicine and radiology departments at the University of Massachusetts Medical School (UMMS). He joined the Department of Biomedical Engineering at the University of Houston in 2011 and is currently an associate professor. He is also an affiliate faculty member of the Hewlett Packard Enterprise Data Science Institute. His research interests include imaging technology assessment, visual perception and sources of observer variability, and optimization of nuclear medicine and x-ray imaging protocols.

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