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Edge- and detail-preserving sparse image representations for deformable registration of chest MRI and CT volumes

Abstract:

Deformable medical image registration requires the optimisation of a function with a large number of degrees of freedom. Commonly-used approaches to reduce the computational complexity, such as uniform B-splines and Gaussian image pyramids, introduce translation-invariant homogeneous smoothing, and may lead to less accurate registration in particular for motion fields with discontinuities. This paper introduces the concept of sparse image representation based on supervoxels, which are edge-pr...

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Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
Journal:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) More from this journal
Volume:
7917 LNCS
Pages:
463-474
Publication date:
2013-01-01
DOI:
EISSN:
1611-3349
ISSN:
0302-9743
Language:
English
Keywords:
Pubs id:
pubs:415328
UUID:
uuid:09cb7210-f5d2-43a0-82d2-bfb754c9cf0c
Local pid:
pubs:415328
Source identifiers:
415328
Deposit date:
2013-11-16

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