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Fast free-form deformation using graphics processing units

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. Green open access

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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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