標題: | Automatic Detection and Quantification of Acute Cerebral Infarct by Fuzzy Clustering and Histographic Characterization on Diffusion Weighted MR Imaging and Apparent Diffusion Coefficient Map |
作者: | Tsai, Jang-Zern Peng, Syu-Jyun Chen, Yu-Wei Wang, Kuo-Wei Wu, Hsiao-Kuang Lin, Yun-Yu Lee, Ying-Ying Chen, Chi-Jen Lin, Huey-Juan Smith, Eric Edward Yeh, Poh-Shiow Hsin, Yue-Loong 生醫電子轉譯研究中心 Biomedical Electronics Translational Research Center |
公開日期: | 2014 |
摘要: | Determination of the volumes of acute cerebral infarct in the magnetic resonance imaging harbors prognostic values. However, semiautomatic method of segmentation is time-consuming and with high interrater variability. Using diffusion weighted imaging and apparent diffusion coefficient map from patients with acute infarction in 10 days, we aimed to develop a fully automatic algorithm to measure infarct volume. It includes an unsupervised classification with fuzzy C-means clustering determination of the histographic distribution, defining self-adjusted intensity thresholds. The proposed method attained high agreement with the semiautomatic method, with similarity index 89.9 +/- 6.5%, in detecting cerebral infarct lesions from 22 acute stroke patients. We demonstrated the accuracy of the proposed computer-assisted prompt segmentation method, which appeared promising to replace the laborious, time-consuming, and operator-dependent semiautomatic segmentation. |
URI: | http://hdl.handle.net/11536/24050 http://dx.doi.org/10.1155/2014/963032 |
ISSN: | 2314-6133 |
DOI: | 10.1155/2014/963032 |
期刊: | BIOMED RESEARCH INTERNATIONAL |
顯示於類別: | 期刊論文 |