DocumentCode :
2603864
Title :
User-guided segmentation for medical image using belief propagation
Author :
Chai, YoungJoon ; Park, JinYong ; Kim, Tae-Yong
Author_Institution :
Chung-Ang Univ., Seoul, South Korea
fYear :
2011
fDate :
14-17 June 2011
Firstpage :
226
Lastpage :
227
Abstract :
Medical image processing is considered on an important elements and image segmentation is still a challenging area. Recently, researches for the CT or MRI images are in progress to measure the degree of fatty degeneration; and the size of muscle rupture. However, the segmentation of the medical image is not easy because of irregularity of muscle shape, noises of the MRI or CT image and unclear boundary features. In this paper, we propose a segmentation method using the active contour with the belief Propagation to overcome the local energy minima problem occurred on the Snake or active contour method. Moreover, the proposed method detects the optimum boundary using the semi-automatic method with the user-guided model and it increase the user convenience and computational efficiency.
Keywords :
belief networks; biomedical MRI; computerised tomography; image segmentation; medical image processing; CT; MRI; active contour; belief propagation; medical image processing; unclear boundary features; user-guided segmentation; Active contours; Belief propagation; Biomedical imaging; Computational modeling; Image segmentation; Muscles; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ISCE), 2011 IEEE 15th International Symposium on
Conference_Location :
Singapore
ISSN :
0747-668X
Print_ISBN :
978-1-61284-843-3
Type :
conf
DOI :
10.1109/ISCE.2011.5973820
Filename :
5973820
Link To Document :
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