Non-Rigid Registration for brain MRI: faster and cheaper. (17th May 2010)

• Record Type: Journal Article
• Authors: Liu, Yixun; Fedorov, Andriy; Kikinis, Ron; Chrisochoides, Nikos
• Is Part Of: International journal of functional informatics and personalised medicine. Volume 3:Number 1(2010)
• Page Start: 48
• Page End: 57
• Publication Date: 2010-05-17
• Subjects: non-rigid registration -- GPU -- multicore workstation -- real-time clinical requirements -- brain shift -- image-guided neurosurgery -- brain MRI data -- magnetic resonance imaging -- tumour resection; Biomedical engineering -- Periodicals; Bioinformatics -- Periodicals; 610.28
• Languages: English
• ISSNs: 1756-2104

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.