Title :
Morphology Based Enhancement and Skull Stripping of MRI Brain Images
Author :
Benson, C.C. ; Lajish, V.L.
Author_Institution :
Dept. of Comput. Sci., Univ. of Calicut, Calicut, India
Abstract :
Brain is an important part of human body. Many complex human body functions are controlled by brain. Brain imaging is a widely applicable method for diagnosing many brain abnormalities like brain tumor, stroke, paralysis etc. Magnetic Resonance Imaging (MRI) is a recently emerged method for brain imaging. Two major limitations of brain MR Images are low contrast image and presence of skull region in the image. So before detailed analysis of an image, as a preprocessing stage these two problems must be resolved. In this study we propose a method for MR Image contrast enhancement and skull stripping based on the Morphological image processing technique. The proposed method works on T1, T2 and FLAIR axial images. Experimental results show that the proposed method efficiently works for enhancing and skull removal of brain MR Images.
Keywords :
biomedical MRI; brain; image enhancement; medical image processing; MR image contrast enhancement; MRI; MRI brain images; brain imaging; magnetic resonance imaging; morphological image processing technique; morphology based enhancement; skull stripping; Algorithm design and analysis; Brain; Histograms; Magnetic resonance imaging; Morphology; Tumors; Brain Imaging; Contrast Enhancement; MR Images; Skull Stripping;
Conference_Titel :
Intelligent Computing Applications (ICICA), 2014 International Conference on
Conference_Location :
Coimbatore
DOI :
10.1109/ICICA.2014.61