کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
506175 864572 2007 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Statistical morphological skull stripping of adult and infant MRI data
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Statistical morphological skull stripping of adult and infant MRI data
چکیده انگلیسی

This paper describes a novel automatic statistical morphology skull stripper (SMSS) that uniquely exploits a statistical self-similarity measure and a 2-D brain mask to delineate the brain. The result of applying SMSS to 20 MRI data set volumes, including scans of both adult and infant subjects is also described. Quantitative performance assessment was undertaken with the use of brain masks provided by a brain segmentation expert. The performance is compared with an alternative technique known as brain extraction tool. The results suggest that SMSS is capable of skull-stripping neurological data with small amounts of over- and under-segmentation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Biology and Medicine - Volume 37, Issue 3, March 2007, Pages 342–357
نویسندگان
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