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Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Piecewise-diffeomorphic image registration: Application to the motion estimation between 3D CT lung images with sliding conditions.
Med. Image Anal. 17, 182-193 (2013)
In this paper, we propose a new strategy for modelling sliding conditions when registering 3D images in a piecewise-diffeomorphic framework. More specifically, our main contribution is the development of a mathematical formalism to perform Large Deformation Diffeomorphic Metric Mapping registration with sliding conditions. We also show how to adapt this formalism to the LogDemons diffeomorphic registration framework. We finally show how to apply this strategy to estimate the respiratory motion between 3D CT pulmonary images. Quantitative tests are performed on 2D and 3D synthetic images, as well as on real 3D lung images from the MICCAI EMPIRE10 challenge. Results show that our strategy estimates accurate mappings of entire 3D thoracic image volumes that exhibit a sliding motion, as opposed to conventional registration methods which are not capable of capturing discontinuous deformations at the thoracic cage boundary. They also show that although the deformations are not smooth across the location of sliding conditions, they are almost always invertible in the whole image domain. This would be helpful for radiotherapy planning and delivery.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Diffeomorphic Registration ; Lddmm ; Logdemons ; Respiratory Motion ; Sliding Motion
ISSN (print) / ISBN
1361-8415
e-ISSN
1361-8415
Zeitschrift
Medical Image Analysis
Quellenangaben
Band: 17,
Heft: 2,
Seiten: 182-193
Verlag
Elsevier
Nichtpatentliteratur
Publikationen
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute for Machine Learning in Biomed Imaging (IML)