Faculty Advisor

Prof. Michael A. Gennert

Faculty Advisor

Prof Matthew O. Ward

Faculty Advisor

Prof. Michael A. Gennert

Identifier

etd-082905-161037

Abstract

"Patient motion, which causes artifacts in reconstructed images, can be a serious problem in Single Photon Emission Computed Tomography (SPECT) imaging. If patient motion can be detected and quantified, the reconstruction algorithm can compensate for the motion. A real-time multi-threaded Visual Tracking System (VTS) using optical cameras, which will be suitable for deployment in clinical trials, is under development. The VTS tracks patients using multiple video images and image processing techniques, calculating patient motion in three-dimensional space. This research aimed to develop and implement an algorithm for feature matching and stereo location computation using multiple cameras. Feature matching is done based on the epipolar geometry constraints for a pair of images and extended to the multiple view case with an iterative algorithm. Stereo locations of the matches are then computed using sum of squared distances from the projected 3D lines in SPECT coordinates as the error metric. This information from the VTS, when coupled with motion assessment from the emission data itself, can provide a robust compensation for patient motion as part of reconstruction."

Publisher

Worcester Polytechnic Institute

Degree Name

MS

Department

Computer Science

Project Type

Thesis

Date Accepted

2005-08-29

Accessibility

Unrestricted

Subjects

Feature matching in multiple cameras, Multi camera stereo computation, Patient Motion Tracking, SPECT Imaging, Tomography, Emission, Imaging systems in medicine, Photography, Stereoscopic

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