Abstract
Parcellation, one of several brain analysis methods, is a procedure popular for subdividing the regions identified by segmentation into smaller topographically defined units. The fuzzy clustering algorithm is mainly used to preprocess parcellation into several segmentation methods, because it is very appropriate for the characteristics of magnetic resonance imaging (MRI), such as partial volume effect and intensity inhomogeneity. However, some gray matter, such as basal ganglia and thalamus, may be misclassified into the white matter class using the conventional fuzzy C-Means (FCM) algorithm. Parcellation has been nearly achieved through manual drawing, but it is a tedious and time-consuming process. We propose improved classification using successive fuzzy clustering and implementing the parcellation module with the modified graphic user interface (GUI) for the convenience of users.
Full Text
The Full Text of this article is available as a PDF (441.9 KB).
Footnotes
Supported by the Ministry of Health and Welfare (hmp-98g-1-002-b), Korea.
References
- 1.Crespo-Facorro B, Kim JJ, Andreasen NC. Human frontal cortex: An MkI-based parcellation mehthod. Neuroimage. 1999;10:500–519. doi: 10.1006/nimg.1999.0489. [DOI] [PubMed] [Google Scholar]
- 2.Kim JJ, Crespo-Facorro B, Andreasen NC. An MkI-based parcellation method for the temporal lobe. Neuroimage. 2000;11:271–288. doi: 10.1006/nimg.2000.0543. [DOI] [PubMed] [Google Scholar]
- 3.Bezdek JC, Keller J, Krisnapuram R. Fuzzy Models and Algorithms For Pattern Recognition and Image Processing. Norwell, MA: Kluwer Academic; 1999. [Google Scholar]
- 4.Bezdek JC: Pattern Recognition With Fuzzy Objective Function Algorithms. New York, NY, Plenum, 1981
- 5.Kim JJ, Kim SI, Kim JS: Morphometric abnormality of the insula cortex measured by magnetic resonance imaging in schizophrenia and obsessive compulsive disorder. International Congress on Schizophrenia Research. Whistler Resort, British Columbia, April 2001