کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
390714 661294 2009 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
3D brain tumor segmentation in MRI using fuzzy classification, symmetry analysis and spatially constrained deformable models
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
3D brain tumor segmentation in MRI using fuzzy classification, symmetry analysis and spatially constrained deformable models
چکیده انگلیسی

We propose a new general method for segmenting brain tumors in 3D magnetic resonance images. Our method is applicable to different types of tumors. First, the brain is segmented using a new approach, robust to the presence of tumors. Then a first tumor detection is performed, based on selecting asymmetric areas with respect to the approximate brain symmetry plane and fuzzy classification. Its result constitutes the initialization of a segmentation method based on a combination of a deformable model and spatial relations, leading to a precise segmentation of the tumors. Imprecision and variability are taken into account at all levels, using appropriate fuzzy models. The results obtained on different types of tumors have been evaluated by comparison with manual segmentations.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuzzy Sets and Systems - Volume 160, Issue 10, 16 May 2009, Pages 1457-1473