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Non-Rigid Registration for Brain MRI: Faster and Cheaper

 

Yixun Liu, Andriy Fedorov, Ron Kikinis and Nikos Chrisochoides.

 

Published in International Journal of Functional Informatics and Personalized Medicine (IJFIPM), Publisher Inderscience Enterprises Ltd., Volume 3, No. 1, pages 48 -- 57, 2010

 

Abstract

 

We study the problem of Non-Rigid Registration (NRR) for intra-operative recovery of brain shift during image-guided neurosurgery. Time-critical nature of the tumour resection procedure presents a major obstacle to the routine clinical use of many available NRR approaches. In this paper, we utilise the resources of a single multicore workstation with an advanced graphics card to parallelise and evaluate an end-to-end implementation of a clinically validated NRR method. The results on clinical brain MRI data show the parallel NRR can reach real-time clinical requirement.