کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10351717 864515 2012 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Smart histogram analysis applied to the skull-stripping problem in T1-weighted MRI
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Smart histogram analysis applied to the skull-stripping problem in T1-weighted MRI
چکیده انگلیسی
In this paper we address the “skull-stripping” problem in 3D MR images. We propose a new method that employs an efficient and unique histogram analysis. A fundamental component of this analysis is an algorithm for partitioning a histogram based on the position of the maximum deviation from a Gaussian fit. In our experiments we use a comprehensive image database, including both synthetic and real MRI, and compare our method with other two well-known methods, namely BSE and BET. For all datasets we achieved superior results. Our method is also highly independent of parameter tuning and very robust across considerable variations of noise ratio.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Biology and Medicine - Volume 42, Issue 5, May 2012, Pages 509-522
نویسندگان
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