DocumentCode :
3311596
Title :
A FEM-based deformable model for the 3D segmentation and tracking of the heart in cardiac MRI
Author :
Pham, Q.C. ; Vincent, F. ; Clarysse, P. ; Croisille, P. ; Magnin, I.E.
Author_Institution :
CREATIS CNRS, INSA, Villeurbanne, France
fYear :
2001
fDate :
2001
Firstpage :
250
Lastpage :
254
Abstract :
We present a new approach for the segmentation and tracking of the heart from cardiac MR multi-slice and multi-phase image sequences. An a priori model of the object to be segmented is defined. It is composed of a topology and a geometry of the object, and associated elastic material properties. The a priori model is immersed into the image data and submitted to a force field which pulls the model´s interfaces towards the image edges. The equilibrium of the system is achieved by the minimization of the model´s energy using the finite element method. The active region model (ARM) has been successfully applied to the segmentation and tracking of the heart in cardiac MRI. The deformed model directly provides clinically relevant parameters such as volumes and also physical and local parameters such as strains and stresses
Keywords :
biomedical MRI; cardiology; finite element analysis; geometry; image segmentation; image sequences; topology; tracking; 3D heart segmentation; FEM-based deformable model; active region model; cardiac MRI; clinical parameters; elastic material properties; finite element method; force field; heart tracking; image data; local physical parameters; multi-phase image sequences; multi-slice image sequences; object geometry; object topology; Deformable models; Finite element methods; Geometry; Heart; Image segmentation; Image sequences; Magnetic resonance imaging; Material properties; Minimization methods; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing and Analysis, 2001. ISPA 2001. Proceedings of the 2nd International Symposium on
Conference_Location :
Pula
Print_ISBN :
953-96769-4-0
Type :
conf
DOI :
10.1109/ISPA.2001.938636
Filename :
938636
Link To Document :
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