Fast and robust registration based on gradient orientations: case study matching intra-operative ultrasound to pre-operative MRI in neurosurgery

Authors:
Dante De Nigris;D. Louis Collins;Tal Arbel
Affiliations:
Centre for Intelligent Machines, McGill University, Montreal, Canada;Montreal Neurological Institute, McGill University, Montreal, Canada;Centre for Intelligent Machines, McGill University, Montreal, Canada
Venue:
IPCAI'12 Proceedings of the Third international conference on Information Processing in Computer-Assisted Interventions
Year:
2012

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Abstract

We present a novel approach for the rigid registration of pre-operative magnetic resonance to intra-operative ultrasound in the context of image-guided neurosurgery. Our framework proposes the maximization of gradient orientation alignment in locations with minimal uncertainty of the orientation estimates, permitting fast and robust performance. We evaluated our method on 14 clinical neurosurgical cases of patients with brain tumors, including low-grade and high-grade gliomas. We demonstrate processing times as small as 7 seconds and improved performance with relation to competing intensity-based methods.