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| Content Provider | Scientific Research Publishing (SCIRP) |
|---|---|
| Author | Tokunaga, Chiaki Arimura, Hidetaka Yoshiura, Takashi Ohara, Tomoyuki Yamashita, Yasuo Kobayashi, Kouji Magome, Taiki Nakamura, Yasuhiko Honda, Hiroshi Hirata, Hideki Ohki, Masafumi Toyofuku, Fukai |
| Abstract | Our purpose in this study was to develop an automated method for measuring three-dimensional (3D) cerebral cortical thicknesses in patients with Alzheimer’s disease (AD) using magnetic resonance (MR) images. Our proposed method consists of mainly three steps. First, a brain parenchymal region was segmented based on brain model matching. Second, a 3D fuzzy membership map for a cerebral cortical region was created by applying a fuzzy c-means (FCM) clustering algorithm to T1-weighted MR images. Third, cerebral cortical thickness was three- dimensionally measured on each cortical surface voxel by using a localized gradient vector trajectory in a fuzzy membership map. Spherical models with 3 mm artificial cortical regions, which were produced using three noise levels of 2%, 5%, and 10%, were employed to evaluate the proposed method. We also applied the proposed method to T1-weighted images obtained from 20 cases, i.e., 10 clinically diagnosed AD cases and 10 clinically normal (CN) subjects. The thicknesses of the 3 mm artificial cortical regions for spherical models with noise levels of 2%, 5%, and 10% were measured by the proposed method as 2.953 ± 0.342, 2.953 ± 0.342 and 2.952 ± 0.343 mm, respectively. Thus the mean thicknesses for the entire cerebral lobar region were 3.1 ± 0.4 mm for AD patients and 3.3 ± 0.4 mm for CN subjects, respectively (p |
| Starting Page | 327 |
| Ending Page | 336 |
| File Format | HTM / HTML PDF |
| ISSN | 19376871 |
| Issue Number | 03 |
| Volume Number | 06 |
| Journal | Journal of Biomedical Science and Engineering |
| DOI | 10.4236/jbise.2013.63A042 |
| e-ISSN | 1937688X |
| Language | English |
| Publisher Date | 2013-03-29 |
| Access Restriction | Open |
| Subject Keyword | Alzheimer’s Disease (AD) Three-Dimensional Cerebral Cortical Thickness Localized Gradient Vector Fuzzy C-Means Clustering (FCM) Biomedical & Life Sciences |
| Content Type | Text |
| Resource Type | Article |
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