Application of fuzzy c-means segmentation technique for tissue differentiation in MR images of a hemorrhagic glioblastoma multiforme |
| |
Institution: | 1. Department of Biochemistry, Universidade Estadual de Maringa, Maringa, PR 87020-900, Brazil;2. Department of Biochemistry and Molecular Biology, Universidade Federal do Parana, P.O. Box 19046, Curitiba, PR 81531-990, Brazil;1. Department of Molecular and Integrative Physiology, University of Michigan Medical School, Ann Arbor, MI 48109, United States;2. Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan Medical School, Ann Arbor, MI 48109, United States;3. Department of Pharmacology, University of Michigan Medical School, Ann Arbor, MI 48109, United States |
| |
Abstract: | The application of a raw data-based, operator-independent MR segmentation technique to differentiate boundaries of tumor from edema or hemorrhage is demonstrated. A case of a glioblastoma multiforme with gross and histopathologic correlation is presented. The MR image data set was segmented into tissue classes based on three different MR weighted image parameters (T1-, proton density-, and T2-weighted) using unsupervised fuzzy c-means (FCM) clustering algorithm technique for pattern recognition. A radiological examination of the MR images and correlation with fuzzy clustering segmentations was performed. Results were confirmed by gross and histopathology which, to the best of our knowledge, reports the first application of this demanding approach. Based on the results of neuropathologic correlation, the application of FCM MR image segmentation to several MR images of a glioblastoma multiforme represents a viable technique for displaying diagnostically relevant tissue contrast information used in 3D volume reconstruction. With this technique, it is possible to generate segmentation images that display clinically important neuroanatomic and neuropathologic tissue contrast information from raw MR image data. |
| |
Keywords: | |
本文献已被 ScienceDirect 等数据库收录! |
|