DocumentCode
1826768
Title
Integrated segmentation and deformation analysis of 4-D cardiac MR images
Author
Zhu, Yun ; Yan, Ping ; Papademetris, Xenophon ; Sinusas, Albert J. ; Duncan, James S.
Author_Institution
Dept. of Biomed. Eng., Yale Univ., New Haven, CT
fYear
2008
fDate
14-17 May 2008
Firstpage
1437
Lastpage
1440
Abstract
Segmentation and motion estimation from cardiac images are usually considered separately, yet they can obviously benefit from each other. In this paper, we propose a joint segmentation and motion estimation algorithm for the purposes of myocardial deformation analysis and strain estimation. We use segmentation as a guide for selecting feature points with significant shape characteristics, and invoke a Generalized Robust Point Matching (GRPM) strategy with Boundary Element Method (BEM)-based regularization model to estimate the dense displacement field and strain map from 3-D cardiac sequences. Quantitative analysis of the results is performed in comparison with the displacements found using implanted markers, taken to be gold standards.
Keywords
biomechanics; biomedical MRI; boundary-elements methods; cardiology; deformation; image segmentation; 3D cardiac sequences; 4D cardiac MR images; BEM-based regularization model; GRPM strategy; Generalized Robust Point Matching; boundary element method; implanted markers; integrated segmentation; motion estimation; myocardial deformation analysis; strain estimation; Algorithm design and analysis; Boundary element methods; Capacitive sensors; Image analysis; Image motion analysis; Image segmentation; Motion estimation; Myocardium; Robustness; Shape; Boundary Element Method; Cardiac Image Segmentation; Cardiac Motion Analysis; Robust Point Matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on
Conference_Location
Paris
Print_ISBN
978-1-4244-2002-5
Electronic_ISBN
978-1-4244-2003-2
Type
conf
DOI
10.1109/ISBI.2008.4541277
Filename
4541277
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