Brain tumor boundary detection in MR image with generalized fuzzy operator

Boundary detection in MR image with brain tumor is an important image processiug 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 o f 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 exampleis used for evaluating this method with the contour deformablemodel. Keywords - Brain tumor, non-homogeneities density, generalized fuzzy operator.

• Type: Conference
• Year: 2003
• Where: ICIP
• Authors: C. C. Leung, W. F. Chen, Paul C. K. Kwok, Francis H. Y. Chan
• Keywords: Boundary Detection Algorithms, Brain Tumor, Contour Deformable Model, Fuzzy Operator, ICIP 2003, Image Processing, Nonhomogeneities Density Tissue