DocumentCode :
2306582
Title :
Brain tumor boundary detection in MR image with generalized fuzzy operator
Author :
Leung, C.C. ; Chen, W.F. ; Kwok, P.C.K. ; Chan, F.H.Y.
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ., China
Volume :
2
fYear :
2003
fDate :
14-17 Sept. 2003
Abstract :
Boundary detection in MR image with brain tumor is an important image processing technique applied in radiology for 3D reconstruction. The nonhomogeneities density tissue of the brain with tumor can result in achieving the inaccurate location in any boundary detection algorithms. Recently, some studies using the contour deformable model with regional base technique, the performance is insufficient to obtain the fine edge in the tumor, and the considerable error in accuracy is existed. Moreover, even in some of the normal tissue region, edge created by this method has also been encompassed. In this paper, we propose a new approach to detect the boundary of brain tumor based on the generalized fuzzy operator (GFO). One typical example is used for evaluating this method with the contour deformable model.
Keywords :
biomedical MRI; brain; edge detection; fuzzy set theory; medical image processing; radiology; tumours; 3D reconstruction; MR image; boundary detection algorithms; brain tumor; contour deformable model; generalized fuzzy operator; image processing technique; nonhomogeneities density tissue; radiology; regional base technique; Biomedical engineering; Biomedical imaging; Deformable models; Detection algorithms; Image edge detection; Image reconstruction; Magnetic resonance; Neoplasms; Partial response channels; Radiology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-7750-8
Type :
conf
DOI :
10.1109/ICIP.2003.1246867
Filename :
1246867
Link To Document :
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