Literature DB >> 21761693

Temporal groupwise registration for motion modeling.

Mehmet Yigitsoy1, Christian Wachinger, Nassir Navab.   

Abstract

We propose a novel method for the registration of time-resolved image sequences, called Spatio-Temporal groupwise non-rigid Registration using free-form deforMations (STORM). It is a groupwise registration method, with a group of images being considered simultaneously, in order to prevent bias introduction. This is different from pairwise registration methods where only two images are registered to each other. Furthermore, STORM is a spatio-temporal registration method, where both, the spatial and the temporal information are utilized during the registration. This ensures the smoothness and consistency of the resulting deformation fields, which is especially important for motion modeling on medical data. Moreover, popular free-form deformations are applied to model the non-rigid motion. Experiments are conducted on both synthetic and medical images. Results show the good performance and the robustness of the proposed approach with respect to outliers and imaging artifacts, and moreover, its ability to correct for larger deformation in comparison to standard pairwise techniques.

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Year:  2011        PMID: 21761693     DOI: 10.1007/978-3-642-22092-0_53

Source DB:  PubMed          Journal:  Inf Process Med Imaging        ISSN: 1011-2499


  4 in total

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Journal:  Med Phys       Date:  2013-03       Impact factor: 4.071

2.  Temporally diffeomorphic cardiac motion estimation from three-dimensional echocardiography by minimization of intensity consistency error.

Authors:  Zhijun Zhang; Muhammad Ashraf; David J Sahn; Xubo Song
Journal:  Med Phys       Date:  2014-05       Impact factor: 4.071

3.  An Overdetermined System of Transform Equations in Support of Robust DCE-MRI Registration With Outlier Rejection.

Authors:  Adam Johansson; James Balter; Mary Feng; Yue Cao
Journal:  Tomography       Date:  2016-09

4.  Fully automated segmentation of the left atrium, pulmonary veins, and left atrial appendage from magnetic resonance angiography by joint-atlas-optimization.

Authors:  Menyun Qiao; Yuanyuan Wang; Floris F Berendsen; Rob J van der Geest; Qian Tao
Journal:  Med Phys       Date:  2019-03-22       Impact factor: 4.071

  4 in total

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