DocumentCode :
2493997
Title :
Bladder segmentation in MRI images using active region growing model
Author :
Garnier, Carole ; Ke, Wu ; Dillenseger, Jean-Louis
Author_Institution :
Lab. Traitement du Signal et de l´´Image, Univ. de Rennes 1, Rennes, France
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
5702
Lastpage :
5705
Abstract :
Prostate segmentation in MRI may be difficult at the interface with the bladder where the contrast is poor. Coupled-models that segment simultaneously both organs with non-overlapping constraints offer a good solution. As a pre-segmentation of the structures of interest is required, we propose in this paper a fast deformable model to segment the bladder. The combination of inflation and internal forces, locally adapted according to the gray levels, allow to deform the mesh toward the boundaries while overcoming the leakage issues that can occur at weak edges. The algorithm, evaluated on 33 MRI volumes from 5 different devices, has shown good performance providing a smooth and accurate surface.
Keywords :
biological organs; biomedical MRI; image segmentation; medical image processing; physiological models; MRI images; active region growing model; bladder segmentation; deformable model; prostate segmentation; Bladder; Deformable models; Force; Image segmentation; Magnetic resonance imaging; Shape; Tin; Algorithms; Computer Simulation; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Models, Anatomic; Models, Biological; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Urinary Bladder;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6091380
Filename :
6091380
Link To Document :
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