کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6269444 1295138 2013 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Computational NeuroscienceAutomated quantification of white matter lesion in magnetic resonance imaging of patients with acute infarction
ترجمه فارسی عنوان
محاسبات عصب شناسی اندازه گیری خودکار ضایعه ماده سفید در تصویربرداری رزونانس مغناطیسی در بیماران مبتلا به انفارکتوس حاد
کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب (عمومی)
چکیده انگلیسی

PurposeIt has been reported that increased white matter lesions (WML) is one of the risk factors for stroke. To quantify WML objectively with the presence of acute infarcts, we proposed an automated segmentation scheme to locate WMLs in combined T1-weighted MRI, fluid attenuation inversion recovery (FLAIR) and diffusion weighted imaging (DWI).Materials and methodsThe proposed method detects WMLs by a coarse-to-fine mathematical morphology method. It has been evaluated quantitatively and qualitatively using voxel-based, volume-based, score-based, and atlas-based approaches on MRI data of 91 subjects with acute infarction.ResultThe proposed WML detection algorithm yields average sensitivity, positive predictive value and similarity index of 0.803, 0.818, and 0.836, respectively. Experimental results demonstrated that the segmentation from the proposed method is in high agreement with that from manual segmentation (intraclass correlation coefficient = 0.9892), and with a good correlation with visual scores (R = 0.8442, p < 0.0001).

► Detects WML by a coarse-to-fine mathematical morphology method. ► Able to differentiate the WML and acute infarction. ► Evaluated using voxel-based, volume-based, score-based, and atlas-based approaches on MRI data of 91 subjects with acute infarction. ► WMLs detection accuracy: average sensitivity: 0.803; positive predictive value: 0.818 and similarity index: 0.836.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Neuroscience Methods - Volume 213, Issue 1, 15 February 2013, Pages 138-146
نویسندگان
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