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

Journal article

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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Authors: Heinrich, M; Jenkinson, M; Papiez, B; Glesson, F; Brady, S

• Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
• Volume: 7917 LNCS
• Pages: 463-474
• Publication date: 2013-01-01
• DOI: 10.1007/978-3-642-38868-2_39
• EISSN: 1611-3349
• ISSN: 0302-9743
• Language: English
• Keywords: supervoxels; pulmonary; sliding motion; multi-modal fusion