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
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