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Directional Averages for Motion Segmentation in Discontinuity Preserving Image Registration

Jud, Christoph and Sandkuehler, Robin and Moeri, Nadia and Cattin, Philippe C.. (2017) Directional Averages for Motion Segmentation in Discontinuity Preserving Image Registration. In: Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 249-256.

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Official URL: https://edoc.unibas.ch/62557/

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Abstract

The registration of abdominal images is central in the analysis of motion patterns and physiological investigations of abdominal organs. Challenges which arise in this context are discontinuous changes in correspondence across sliding organ boundaries. Standard regularity criteria like smoothness, are not valid in such regions. In this paper, we introduce a novel regularity criterion which incorporates local motion segmentation in order to preserve discontinuous changes in the spatial mapping. Based on local directional statistics of the transformation parameters it is decided which part of a local neighborhood influences a parameter during registration. Thus, the mutual influence of neighboring parameters which are located on opposing sides of sliding organ boundaries is relaxed. The motion segmentation is performed within the regularizer as well as in the image similarity measure and is thus implicitly updated throughout the optimization. In the experiments on the 4DCT POPI dataset we achieve competitive registration performance compared to state-of-the-art methods.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Center for medical Image Analysis & Navigation (Cattin)
UniBasel Contributors:Cattin, Philippe Claude
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:Springer
ISBN:978-3-319-66181-0
e-ISBN:978-3-319-66182-7
Series Name:Lecture Notes in Computer Science
Issue Number:10433
ISSN:0302-9743
e-ISSN:1611-3349
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:29 May 2018 09:09
Deposited On:05 Apr 2018 08:37

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