Modat, M.;
Ridgway, G.R.;
Taylor, Z.A.;
Lehmann, M.;
Barnes, J.;
Hawkes, D.J.;
Fox, N.C.;
(2010)
Fast free-form deformation using graphics processing units.
Computer Methods and Programs in Biomedicine
, 98
(3)
pp. 278-284.
10.1016/j.cmpb.2009.09.002.
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Abstract
A large number of algorithms have been developed to perform non-rigid registration and it is a tool commonly used in medical image analysis. The Free-Form Deformation algorithm is a well-established technique, but is extremely time consuming. In this paper we present a parallel-friendly formulation of the algorithm suitable for Graphics Processing Unit execution. Using our approach we perform registration of T1-weighted MR images in less than 1 minute and show the same level of accuracy as a classical serial implementation when performing segmentation propagation. This technology could be of significant utility in time-critical applications such as image-guided interventions, or in the processing of large data sets.
| Type: | Article |
|---|---|
| Title: | Fast free-form deformation using graphics processing units |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.cmpb.2009.09.002 |
| Publisher version: | http://dx.doi.org/10.1016/j.cmpb.2009.09.002 |
| Language: | English |
| Additional information: | This article is one of a selection of 8 papers from the HP-MICCAI 2008 workshop, 10 September 2008, to be published in a special issue of the Computer Methods and Programs in Biomedicine journal. |
| Keywords: | GPU, non-rigid registration, free-form deformation, normalised mutual information |
| UCL classification: | UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/17431 |
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