Gennert Grant
The CS department is pleased to announce that Professor Michael Gennert has received one of the largest grants the department has ever had, $787,104 over 5 years. It is entitled "Patient Motion Detection and Compensation in SPECT", and it is a subcontract to the University of Massachusetts Medical School under an NIH grant.
Research Abstract
Patient motion is an ever-present potential cause of artifacts that can limit the accuracy of diagnostic imaging. The problem is especially significant for imaging modalities such as SPECT and PET, which require the patient to remain motionless for protracted periods of time. Compensation strategies for motion in SPECT imaging that rely exclusively on the emission data itself, although commercially available, are inadequate for robust clinical usage. The goal of the proposed investigations is to determine if information from a visual-tracking-system will provide a robust compensation for patient motion as part of iterative reconstruction. By visual-tracking-system we meant a computational system that processes stereo images taken by optical cameras thereby providing a source of motion information that is independent of the SPECT system. Motion of the chest and abdomen will be determined by tracking the locations of a pattern that is part of a stretchy garment wrapped about the patient. The types of patient motion for which compensation will be investigated with the VTS are rigid body motion, non-rigid body motion, respiratory motion, upward creep of the heart, and motion between sequential emission and transmission, CT or MRI imaging. The ultimate test of the success of our hypothesis will be physician-observer ROC studies comparing the detection accuracy of coronary artery disease (CAD) with and without motion compensation for patients undergoing SPECT perfusion imaging.
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