Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1504/IJFIPM.2010.033245 | I. J. Functional Informatics and Personalised Medicine |
Keywords | Field | DocType |
multicore,real-time,brain shift.,non-rigid registration,gpu,magnetic resonance imaging,real time | Graphics,Brain mri,Computer science,Workstation,Resection,Neurosurgery,Medical physics,Magnetic resonance imaging | Journal |
Volume | Issue | Citations |
3 | 1 | 1 |
PageRank | References | Authors |
0.35 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yixun Liu | 1 | 158 | 13.84 |
| Andriy Fedorov | 2 | 171 | 16.54 |
| Ron Kikinis | 3 | 6723 | 1071.86 |
| Nikos Chrisochoides | 4 | 672 | 59.09 |