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Publication Detail
Fast Free-Form Deformation using the Normalised Mutual Information gradient and Graphics Processing Units
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    Modat M, Taylor ZA, Barnes J, Hawkes DJ, Fox NC, Ourselin S
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    date-added: 2009-04-08 10:57:58 +0100 date-modified: 2009-11-04 11:37:05 +0000 local-url: file://localhost/Users/mmodat/Documents/Papers/2008Modat.pdf uri: papers://0E4B006B-D044-4501-93CA-AAE1F0F87354/Paper/p56 read: Yes rating: 0
Non-rigid registration is a tool commonly used in medical image analysis. However techniques are usually time consuming. In this paper we present a fast registration framework which is a modification of the well-known Free-Form Deformation (FFD) algorithm. Our algorithm uses the analytical Normalized Mutual Information gradient which leads to a highly parallel framework. Its implementation is therefore suitable for execution via Grapics Processing Units. We apply the new method to estimate the brain atrophy on Alzheimer’s disease sub jects and show that accuracy is similar to the classical FFD, however the computation time is dramatically decreased
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