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Automatic Detection and Quantification of Acute Cerebral Infarct by Fuzzy Clustering and Histographic Characterization on Diffusion Weighted MR Imaging and Apparent Diffusion Coefficient Map
Joint Authors
Hsin, Yue-Loong
Chen, Yu-Wei
Chen, Chi-Jen
Yeh, Poh-Shiow
Lin, Yun-Yu
Lee, Ying-Ying
Peng, Syu-Jyun
Smith, Eric Edward
Wang, Kuo-Wei
Tsai, Jang-Zern
Wu, Hsiao-Kuang
Lin, Huey-Juan
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-12
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Tsai, Jang-Zern& Peng, Syu-Jyun& Chen, Yu-Wei& Wang, Kuo-Wei& Wu, Hsiao-Kuang& Lin, Yun-Yu…[et al.]. 2014. Automatic Detection and Quantification of Acute Cerebral Infarct by Fuzzy Clustering and Histographic Characterization on Diffusion Weighted MR Imaging and Apparent Diffusion Coefficient Map. BioMed Research International،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-511827
Modern Language Association (MLA)
Tsai, Jang-Zern…[et al.]. Automatic Detection and Quantification of Acute Cerebral Infarct by Fuzzy Clustering and Histographic Characterization on Diffusion Weighted MR Imaging and Apparent Diffusion Coefficient Map. BioMed Research International No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-511827
American Medical Association (AMA)
Tsai, Jang-Zern& Peng, Syu-Jyun& Chen, Yu-Wei& Wang, Kuo-Wei& Wu, Hsiao-Kuang& Lin, Yun-Yu…[et al.]. Automatic Detection and Quantification of Acute Cerebral Infarct by Fuzzy Clustering and Histographic Characterization on Diffusion Weighted MR Imaging and Apparent Diffusion Coefficient Map. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-511827
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511827