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MICCAI
2002
Springer

Cortical Surface Registration Using Texture Mapped Point Clouds and Mutual Information

10 years 11 months ago
Cortical Surface Registration Using Texture Mapped Point Clouds and Mutual Information
An inter-modality registration algorithm that uses textured point clouds and mutual information is presented within the context of a new physical-space to image-space registration technique for imageguided neurosurgery. The approach uses a laser range scanner that acquires textured geometric data of the brain surface intraoperatively and registers the data to grayscale encoded surfaces of the brain extracted from gadolinium enhanced MR tomograms. Intra-modality as well as inter-modality registration simulations are presented to evaluate the new framework. The results demonstrate alignment accuracies on the order of the resolution of the scanned surfaces (i.e. submillimetric). In addition, data are presented from laser scanning a brain's surface during surgery. The results reported support this approach as a new means for registration and tracking of the brain surface during surgery.
Tuhin K. Sinha, David M. Cash, Robert J. Weil, Rob
Added 15 Nov 2009
Updated 15 Nov 2009
Type Conference
Year 2002
Where MICCAI
Authors Tuhin K. Sinha, David M. Cash, Robert J. Weil, Robert L. Galloway, Michael I. Miga
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