PhD, Washington University in St. Louis, 2008
MS, University of Missouri - St. Louis, 2001
BA, University of Missouri - St. Louis, 1999

Frank Brooks

Research Assistant Professor


Frank Brooks' current research interest are the classification and modeling challenges specific to medical image data acquired via novel imaging modalities. The main challenges with such image data are:

  1. the recognition of objects/patterns in what usually are very noisy images
  2. the meaningful modeling and quantification of patterns found and
  3. the validation of those results.

This is made more difficult in truly new imaging modalities because there exists no gold standard to which to compare. Therefore, an understanding of the fundamental physical and statistical nature of the image data obtained is crucial to imaging science. Brooks employs physics, statistics and machine learning to analyze image data and quantify the downstream error in specific clinical imaging tasks.


Brooks is a research assistant professor working in the Computational Imaging Science Laboratory in the Department of Biomedical Engineering at Washington University in St. Louis. Before joining the department in 2016, he was research faculty in the Cardiovascular Imaging Laboratory at the Mallinckrodt Institute of Radiology located at the Washington University School of Medicine. He designs, and participates in, a wide range of imaging science experiments including the propagation-based x-ray phase contrast imaging of live mice using a novel, bench-top system. He has a keen interest in the fundamental nature of image data and develops analyses of the new and challenging image data encountered in cutting edge imaging science.

​Develops analyses of novel biomedical imaging data

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