He is also an adjunct professor of Pharmaceutical Sciences at the University of Connecticut. Gene R. Gindi Associate Professor Gene Gindi focuses his research interests on algorithm development for medical imaging, particularly the application of applied mathematical methods to image reconstruction and to quantitative metrics for image quality. Gindi has been working in the area of nuclear medicine, where probabilistic methods must be used to reconstruct the image from the quantum limited acquired data. His team s approach has been to use Bayesian methods able to accurately model the image formation process as well as to model assorted forms of prior information concerning the object to be reconstructed. Such prior information includes knowledge of piecewise smoothness of the object as well as side information that can be gleaned from MRIs of the same patient.
Image quality involves the formulation of crisp mathematical criteria.
A considerable effort in signal processing is required in formulating how noise and object variation affect these criteria. Gindi and his students have made recent progress in the formulation of methods to describe noise propagation in nonlinear reconstruction algorithms. The use of supercomputers in the modeling of tissue function has been at the heart of Jim Glimm s research. Prior to his arrival in Stony Brook in 1989, he was a professor at M.I.T., the Rockefeller University, and the Courant Institute of New York University. He holds numerous leadership positions in professional societies and is an editor of several journals.