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
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;
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
DOI :
10.1109/ISBI.2008.4541277