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
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