DocumentCode
1826826
Title
A new singular perturbation approach for image segmentation tracking
Author
Schaerer, Joel ; Pousin, Jerome ; Clarysse, Patrick
Author_Institution
CREATIS-LRMN, CNRS, Lyon
fYear
2008
fDate
14-17 May 2008
Firstpage
1445
Lastpage
1448
Abstract
Deformable model based segmentation usually relies on a force field extracted from the image data through the computation of image gradient or gradient vector flow. At convergence, the work of the forces at the interface location should annihilate. This condition is not met in classical deformable formulations. In order to insure this condition, we previously introduced a constrained problem and a nonlinear approach in the framework of a deformable elastic template. From a computational point of view, theses two approaches can be very time consuming. Therefore, we propose in this paper a new simpler formulation using a singular perturbation technique. The nice behavior of the proposed model is demonstrated in the context of the segmentation and tracking of the heart contours in 2D cardiac MRI sequences.
Keywords
biomedical MRI; cardiology; image segmentation; image sequences; medical image processing; perturbation techniques; 2D cardiac MRI sequences; deformable elastic template; deformable model based segmentation; force field extraction; gradient vector flow; heart contour tracking; image gradient; image segmentation tracking; singular perturbation approach; Capacitive sensors; Context modeling; Convergence; Data mining; Deformable models; Image segmentation; Image sequences; Perturbation methods; Solid modeling; Tensile stress; Deformable model; cardiac image sequences; segmentation tracking; singular perturbation method;
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.2008.4541279
Filename
4541279
Link To Document