Title :
Skull stripping and automatic segmentation of brain MRI using seed growth and threshold techniques
Author :
Shanthi, K.J. ; Kumar, M. Sasi
Author_Institution :
Dept. of Electron. & Comm., Univ. of Kerala, Thiruvananthapuram
Abstract :
Segmentation of human brain from MRI scan slices without human intervention is the objective of this paper. A simple and accurate method is developed for extracting the brain tissues from the T1 weighted MR Images. The DICOM images are used for segmenting. A hybrid of threshold and seed growth techniques are used in classifying the brain tissues into white matter (WM), gray matter (GM) and cerebrospinal fluid (CSF).
Keywords :
biological tissues; biomedical MRI; brain; image segmentation; medical image processing; DICOM image; brain MRI; human brain segmentation; seed growth technique; skull stripping; threshold technique; Biological neural networks; Brain; Cranial; Educational institutions; Histograms; Humans; Image segmentation; Intelligent systems; Magnetic resonance imaging; Skull;
Conference_Titel :
Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-1355-3
Electronic_ISBN :
978-1-4244-1356-0
DOI :
10.1109/ICIAS.2007.4658421
