Tracking Patient Motion

CS Dept. Head Candidate

Michael A. Gennert
Worcester Polytechnic Institute

Thursday, March 20, 2003
11 a.m. - 12 noon
Fuller Labs 320

Abstract

Patient motion, which causes artifacts in reconstructed images, can be a serious problem in SPECT imaging. If patient motion can be detected and quantified, the reconstruction algorithm can compensate for the motion. In this work, we investigate whether respiratory motion can be detected using stereo optical cameras.

The patient wears a stretchable fabric garment featuring a set of colored dots. Stereo optical cameras acquire video images of the patient during the SPECT acquisition. Detecting and matching the dots allows the computation of the patient's surface. Motion is tracked using an adaptive blob tracking algorithm applied to each dot in every frame of the stereo videos.

Testing was performed with a volunteer on the table of an IRIX SPECT system while the volunteer underwent simulated emission imaging. The motion tracking algorithm was able to track features over 500 frames across both stereo optical cameras. Respiratory motion was clearly seen and has been verified by independent means.

Host

Computer Science Dept Head Search Committee

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