Multiparametric MRI ISODATA Ischemic Lesion Analysis
نویسندگان
چکیده
منابع مشابه
Multiparametric MRI ISODATA ischemic lesion analysis: correlation with the clinical neurological deficit and single-parameter MRI techniques.
BACKGROUND AND PURPOSE The purpose of this study was to show that the computer segmentation algorithm Iterative Self-Organizing Data Analysis Technique (ISODATA), which integrates multiple MRI parameters (diffusion-weighted imaging [DWI], T2-weighted imaging [T2WI], and T1-weighted imaging [T1WI]) into a single composite image, is capable of defining the ischemic lesion in a time-independent ma...
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Background and Purpose—After stroke, brain tissue undergoes time-dependent heterogeneous histopathological change. These tissue alterations have MRI characteristics that allow segmentation of ischemic from nonischemic tissue. Moreover, MRI segmentation generates different zones within the lesion that may reflect heterogeneity of tissue damage. Methods—A vector tissue signature model is presente...
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ژورنال
عنوان ژورنال: Stroke
سال: 2002
ISSN: 0039-2499,1524-4628
DOI: 10.1161/01.str.0000043072.76353.7c