Segmentation on Brain Image-A Method
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Abstract
Magnetic Resonance Imaging (MRI) is a medical imaging technique. MRI, invented in 1970, is a popular method in medical imaging.
MRI scanning is relatively safe and unlike other medical imaging modalities, can be used as often as necessary. Moreover, it can be adapted to
image brain. Clinical MRI is based on the hydrogen nucleus due to their abundance in the human body and their magnetic resonance sensitivity.
Radiologist used it for the visualization of the internal structure of the body. MRI provides rich information about human soft tissues
anatomy. MRI helps for diagnosis of the brain tumor. Images obtained by the MRI are used for analysing and studying the behaviour of the
brain. Image segmentation is a key task in many image processes and computer vision applications.
In this paper we presented a method for brain segmentation. It is based on the image segmentation method, which refers to the major step in
image processing, the inputs are images and, outputs are the attributes extracted from those images. It covers imaging modalities, magnetic
resonance imaging and methods for noise reduction, inhomogeneity correction and segmentation.
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Keywords: Brain, MRI, Image analysis, Segmentation, Tumor detection
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