Automatic Non-linear MRI-Ultrasound Registration for the Correction of Intra-operative Brain Deformations

Authors:
Tal Arbel;Xavier Morandi;Roch M. Comeau;D. Louis Collins
Affiliations:
-;-;-;-
Venue:
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Year:
2001

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Abstract

Movements of brain tissue during neurosurgical procedures reduce the effectiveness of using pre-operative images for intraoperative surgical guidance. In this paper, we explore the use of acquiring intraoperative ultrasound (US) images for the quantification of and correction for non-linear brain deformations. We will present a multi-modal, automatic registration strategy that matches pre-operative images (e.g. MRI) to intra-operative ultrasound to correct for the non-linear brain deformations. The strategy involves using the predicted appearance of neuroanatomical structures in ultrasound images to build "pseudo ultrasound" images based on pre-operative segmented MRI. These images can then be registered to intra-operative US in a strategy based on cross-correlation measurements generated from the ANIMAL [1] registration package. The feasibility of the theory is demonstrated through its application to clinical patient data acquired during 12 neurosurgical procedures. Qualitative examination of the results indicate that the system is able to correct for non-linear brain deformations.