کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
536145 870469 2008 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
MRI brain image segmentation and bias field correction based on fast spatially constrained kernel clustering approach
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
MRI brain image segmentation and bias field correction based on fast spatially constrained kernel clustering approach
چکیده انگلیسی

A fast spatially constrained kernel clustering algorithm is proposed for segmenting medical magnetic resonance imaging (MRI) brain images and correcting intensity inhomogeneities known as bias field in MRI data. The algorithm using kernel technique implicitly maps image data to a higher dimensional kernel space in order to improve the separability of data and provide more potential for effectively segmenting MRI data. Based on the technique, a speed-up scheme for kernel clustering and an approach for correcting spurious intensity variation of MRI images have been implemented. The fast kernel clustering and bias field correcting benefit each other in an iterative matter and have dramatically reduced the time complexity of kernel clustering. The experiments on simulated brain phantoms and real clinical MRI data have shown that the proposed algorithm generally outperforms the corresponding traditional algorithms when segmenting MRI data corrupted by high noise and gray bias field.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 29, Issue 10, 15 July 2008, Pages 1580–1588
نویسندگان
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