Magnetic resonance image tissue classification using an automatic method
نویسندگان
چکیده
منابع مشابه
Magnetic resonance image tissue classification using an automatic method
BACKGROUND Brain segmentation in magnetic resonance images (MRI) is an important stage in clinical studies for different issues such as diagnosis, analysis, 3-D visualizations for treatment and surgical planning. MR Image segmentation remains a challenging problem in spite of different existing artifacts such as noise, bias field, partial volume effects and complexity of the images. Some of the...
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We describe a sequence of low-level operations to isolate and classify brain tissue within T1-weighted magnetic resonance images (MRI). Our method first removes nonbrain tissue using a combination of anisotropic diffusion filtering, edge detection, and mathematical morphology. We compensate for image nonuniformities due to magnetic field inhomogeneities by fitting a tricubic B-spline gain field...
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ژورنال
عنوان ژورنال: Diagnostic Pathology
سال: 2014
ISSN: 1746-1596
DOI: 10.1186/s13000-014-0207-7