کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
557624 874752 2011 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Intensity inhomogeneity compensation and segmentation of MR brain images using hybrid c-means clustering models
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Intensity inhomogeneity compensation and segmentation of MR brain images using hybrid c-means clustering models
چکیده انگلیسی

Medical image segmentation and registration problems based on magnetic resonance imaging are frequently disturbed by the intensity inhomogeneity or intensity non-uniformity (INU) of the observed images. Most compensation techniques have serious difficulties at high amplitudes of INU. This study proposes a multiple stage hybrid c-means clustering approach to the estimation and compensation of INU, by modeling it as a slowly varying additive or multiplicative noise. The slowly varying behavior of the estimated inhomogeneity field is assured by a context sensitive smoothing filter based on a morphological criterion. The qualitative and quantitative evaluation using 2-D synthetic phantoms and real T1-weighted MR images place the proposed methodology among the most accurate segmentation techniques in the presence of high-magnitude inhomogeneity.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biomedical Signal Processing and Control - Volume 6, Issue 1, January 2011, Pages 3–12
نویسندگان
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