Discontinuity preserving convex image registration model for MRI of the lung

Fundana, Ketut and Bieri, Oliver and Cattin, Philippe C.. (2014) Discontinuity preserving convex image registration model for MRI of the lung. Joint Annual Meeting ISMRM-ESMRMB 2014. p. 1573.

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Official URL: http://edoc.unibas.ch/42930/

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Imaging the structure and function of the human lungs is of importance for early detection of lung diseases. With the new development of steady state free precession (SSFP) imaging concepts in combination with dedicated image registration methods for fast functional and morphological MRI, it is expected that we are able to study the lung functions. We propose a novel method for image registration of the lung MRI sequences by using a convex optical flow model. The model is based on combined local and global optical flow method and regularized by an anisotropic total variation (TV) norm. The anisotropy derived from the structure tensor in order to take into account local variations at each point and to preserve the discontinuities of the motion fields. Qualitative and quantitative evaluations are done to show the robustness of the method.
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:Article, refereed
Article Subtype:Research Article
Note:Publication type according to Uni Basel Research Database: Journal article
Last Modified:13 Jul 2020 15:20
Deposited On:13 Jul 2020 15:20

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