title: Automatic detection and quantification of acute cerebral infarct by fuzzy clustering and histographic characterization on diffusion weighted MR imaging and apparent diffusion coefficient map.
abstract: 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.
authors.affiliation: Department of Electrical Engineering, National Central University, Jhongli City, Taoyuan County 32001, Taiwan.
authors.forename: Jang-Zern
authors.initials: JZ
authors.lastname: Tsai
authors.affiliation: Department of Electrical Engineering, National Central University, Jhongli City, Taoyuan County 32001, Taiwan.
authors.forename: Syu-Jyun
authors.identifier: 0000-0001-5002-6581
authors.initials: SJ
authors.lastname: Peng
authors.affiliation: Department of Computer Science and Information Engineering, National Central University, Jhongli City, Taoyuan County 32001, Taiwan ; Department of Neurology, Landseed Hospital, Pingzhen City, Taoyuan County 32449, Taiwan ; Department of Neurology, National Taiwan University Hospital, Taipei City 10002, Taiwan.
authors.forename: Yu-Wei
authors.initials: YW
authors.lastname: Chen
authors.affiliation: Department of Electrical Engineering, National Central University, Jhongli City, Taoyuan County 32001, Taiwan ; Department of Medical Imaging, Landseed Hospital, Pingzhen City, Taoyuan County 32449, Taiwan.
authors.forename: Kuo-Wei
authors.initials: KW
authors.lastname: Wang
authors.affiliation: Department of Computer Science and Information Engineering, National Central University, Jhongli City, Taoyuan County 32001, Taiwan.
authors.forename: Hsiao-Kuang
authors.initials: HK
authors.lastname: Wu
authors.affiliation: Department of Neurology, Landseed Hospital, Pingzhen City, Taoyuan County 32449, Taiwan.
authors.forename: Yun-Yu
authors.initials: YY
authors.lastname: Lin
authors.affiliation: Department of Neurology, Landseed Hospital, Pingzhen City, Taoyuan County 32449, Taiwan.
authors.forename: Ying-Ying
authors.initials: YY
authors.lastname: Lee
authors.affiliation: Department of Radiology, Taipei Medical University-Shuang Ho Hospital, New Taipei City 23561, Taiwan.
authors.forename: Chi-Jen
authors.initials: CJ
authors.lastname: Chen
authors.affiliation: Department of Neurology, Chi-Mei Medical Center, Tainan City 71004, Taiwan.
authors.forename: Huey-Juan
authors.initials: HJ
authors.lastname: Lin
authors.affiliation: Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada T2N 1N4.
authors.forename: Eric Edward
authors.initials: EE
authors.lastname: Smith
authors.affiliation: Department of Neurology, Chi-Mei Medical Center, Tainan City 71004, Taiwan.
authors.forename: Poh-Shiow
authors.identifier: 0000-0002-7207-1225
authors.initials: PS
authors.lastname: Yeh
authors.affiliation: Epilepsy Center, Buddhist Tzu Chi General Hospital, Hualian City, Hualian County 97002, Taiwan ; Biomedical Electronics Translational Research Center, National Chiao Tung University, Hsinchu City 30010, Taiwan ; Department of Neurology, Chung Shan Medical University Hospital, Taichung City 40201, Taiwan.
authors.forename: Yue-Loong
authors.initials: YL
authors.lastname: Hsin
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D002544:Cerebral Infarction / Q000000981:diagnostic imaging* / Q000473:pathology; D038524:Diffusion Magnetic Resonance Imaging; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D011859:Radiography; D020521:Stroke / Q000000981:diagnostic imaging* / Q000473:pathology
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