Technical Program

Paper Detail

Paper:	FR-AM-OS3.2
Session:	Image Guided Diagnosis, Surgery and Therapy
Time:	Friday, April 7, 11:30 - 11:50
Presentation:	Oral
Title:	Combined Feature/Intensity-Based Brain Shift Compensation Using Stereo Guidance
Authors:	Christine DeLorenzo; Yale University
	Xenophon Papademetris; Yale University
	Kenneth Vives; Yale University
	Dennis Spencer; Yale University
	James Duncan; Yale University
Abstract:	During neurosurgery, soft tissue deformation produces nonrigid brain motion. Biomechanical models are often used in conjunction with image-derived information to infer volumetric brain displacements and compensate for this deformation. Proper use of these compensation systems depends on incorporating appropriate model parameters, balancing the model/data tradeoff and, importantly, on the accuracy of the image-derived information used with the model. The goal of this work is to improve cortical surface tracking accuracy using intraoperative stereo camera images. We use image-derived cortical surface displacement to drive our model. This method takes advantage of both stereo image intensities and segmented cortical features to detect surface motion within a Bayesian framework. To quantify accuracy, the algorithm is tested on both simulated and real surfaces.

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