Type of Document	MS
Author	Sinha, Tuhin Kumar
Author's Email Address	tk.sinha@vanderbilt.edu
URN	etd-1205102-101538
Title	Surface Registration Using Textured Point Clouds and Mutual Information
Degree	Master of Science
Department	Biomedical Engineering
Advisory Committee	Advisor Name Title Michael I. Miga Committee Chair Robert L. Galloway Committee Co-Chair
Keywords	mutual information laser-range scanner model-updated image guided procedures surface registration neurosurgery
Date of Defense	2002-12-06
Availability	unrestricted
Abstract A new inter-modality surface registration algorithm that uses textured point clouds and mutual information is presented within the context of model-updated image guided procedures. The algorithm has been developed to capitalize on the information generated by a laser range scanner. The current iteration of the algorithm is optimized for cortical surface registration. Intra-modality validation for the algorithm is provided in both physical and imaging phantoms. The physical phantom is generated using a laser range scanner that reports texture coordinates. The imaging phantom is generated from gadolinium enhanced MR volumes of the brain. Simulated inter-modality registration experiments on a cortical surface are also presented. Results of the experiments show successful registration accuracies on the order of the resolution of the surfaces (i.e. submillimetric). The results demonstrate that the registration algorithm and laser range scanner have potential application in deformation tracking during surgery and model-updated image-guided procedures.
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