کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8686942 | 1580836 | 2018 | 57 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
UBO Detector - A cluster-based, fully automated pipeline for extracting white matter hyperintensities
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب شناختی
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چکیده انگلیسی
We validated the performance of UBO Detector by showing a) high segmentation (similarity index (SI)â¯=â¯0.848) and volumetric (intraclass correlation coefficient (ICC)â¯=â¯0.985) agreement between the UBO Detector-derived and manually traced WMH; b) highly correlated (r2â¯>â¯0.9) and a steady increase of WMH volumes over time; and c) significant associations of periventricular (tâ¯=â¯22.591, pâ¯<â¯0.001) and deep (tâ¯=â¯14.523, pâ¯<â¯0.001) WMH volumes generated by UBO Detector with Fazekas rating scores. With parallel computing enabled in UBO Detector, the processing can take advantage of multi-core CPU's that are commonly available on workstations. In conclusion, UBO Detector is a reliable, efficient and fully automated WMH segmentation pipeline.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: NeuroImage - Volume 174, 1 July 2018, Pages 539-549
Journal: NeuroImage - Volume 174, 1 July 2018, Pages 539-549
نویسندگان
Jiyang Jiang, Tao Liu, Wanlin Zhu, Rebecca Koncz, Hao Liu, Teresa Lee, Perminder S. Sachdev, Wei Wen,