Date of Award

Spring 2005

Document Type

Thesis

Degree Name

Master of Science in Computer Engineering - (M.S.)

Department

Electrical and Computer Engineering

First Advisor

Atam P. Dhawan

Second Advisor

Yun Q. Shi

Third Advisor

Lionel S. Zuckier

Abstract

Planar scintigraphy, while providing useful information about the distribution of the radiopharmaceutical being used, often does not provide adequate information about the surrounding anatomical structures. A proposed method to solve this problem is by registering and fusing a scintigraphic image with a digital visual image. Fusing planar scintigraphic images with visual photographic images to supply an anatomic correlate to regions of radiopharmaceutical accumulation has been explored in this study. The digital visual image will provide a context for the relevant structures in the scintigraphic image. The validity of using one set of affine transformation parameters for registering all patient data has been confirmed with preliminary data. Results using patient data confirm registration accuracy to within .95 cm on average and 2.35 cm as the greatest amount of error. Error was approximated for an optimal imaging radial distance from the optical axis as being 1.70 cm. Initial clinical imaging has subjectively been very useful in low background applications such as lymphoscintigraphy, whole body 1-131 Nal imaging for thyroid cancer and In-l 11 WBC infection imaging.

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