Detecting patient respiratory motion in SPECT imaging using stereo optical web cameras

Ho, Joseph Khatu; Wang, James H.; Quina, Andre C.

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Detecting patient respiratory motion in SPECT imaging using stereo optical web cameras

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This report presents the research, methods, implementation, testing, and results of a system that detects patient respiratory motion in SPECT imaging using video streams captured using stereo optical web cameras. The main areas of focus were rectification of stereo image pairs, correlation of stereo features, and feature tracking. By comparing results from the feature tracking to data from patient respiration bellows, it was concluded that the system successfully tracked patient respiration. The system was implemented primarily in Java 2 version 1.4, using the Java Media Framework and JAMA Matrix Packages.

This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

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