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Globally optimal deformable registration on a minimum spanning tree using dense displacement sampling.

Abstract:

Deformable image registration poses a highly non-convex optimisation problem. Conventionally, medical image registration techniques rely on continuous optimisation, which is prone to local minima. Recent advances in the mathematics and new programming methods enable these disadvantages to be overcome using discrete optimisation. In this paper, we present a new technique deeds, which employs a discrete dense displacement sampling for the deformable registration of high resolution CT volumes. T...

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Heinrich, MP More by this author
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Neuroscience
Sir Michael Brady More by this author
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Journal:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Volume:
15
Issue:
Pt 3
Pages:
115-122
Publication date:
2012
URN:
uuid:de69ef9b-91d0-43f1-bc81-96711b68b825
Source identifiers:
369932
Local pid:
pubs:369932

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