| Computer-aided detection scheme for identification of hypoattenuation of acute stroke in unenhanced CT. | |
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MedLine Citation:
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PMID: 22131254 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Our purpose in this study was to develop a computer-aided detection scheme for identification of hypoattenuation of acute stroke on unenhanced CT images to select patients for thrombolysis of acute stroke. This method is based on a z-score mapping method. The algorithm of the developed method consisted of five main steps: anatomic standardization, calculation of the z-score with a normal reference database, extraction of candidate voxels for hypoattenuation, feature extraction, and classification. The territory of the middle cerebral artery was divided into ten specified regions, according to a visually quantitative CT scoring system, the Alberta Stroke Programme Early CT Score (ASPECTS) method. Each of the ASPECTS-defined regions was classified as hypoattenuation or normality by linear discriminate analysis. The method was applied to 26 patients who had hypoattenuation areas (<6 h). The performance of this scheme for classification of hypoattenuation was evaluated using a leave-one-case-out method. As a result, an average sensitivity of 89.7% and an average specificity of 85.2% for automatically classifying hypoattenuation regions in the lentiform nucleus and the insular regions were obtained, and the average accuracy for the classification of hypoattenuation per patient was 84.6% (range 55.6-100%). The newly developed method has the potential accurately to identify hypoattenuation of acute stroke in the ASPECTS-defined regions. |
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Authors:
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Noriyuki Takahashi; Yongbum Lee; Du-Yih Tsai; Toshibumi Kinoshita; Naoki Ouchi; Kiyoshi Ishii |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-12-1 |
Journal Detail:
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Title: Radiological physics and technology Volume: - ISSN: 1865-0341 ISO Abbreviation: - Publication Date: 2011 Dec |
Date Detail:
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Created Date: 2011-12-1 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101467995 Medline TA: Radiol Phys Technol Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Department of Radiological Technology, Sendai City Hospital, 3-1 Shimizukouji, Wakabayashi-ku, Sendai, Miyagi, 984-8501, Japan, kiyurino1189@happy.odn.ne.jp. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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