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- Title
Automatic segmentation of T2 weighted brain MRI based on histogram gradient calculation.
- Authors
QI Xing-bin; ZHAO Li; LI Xue-mei; TIAN Tao
- Abstract
For the issues of magnetic resonance images segmentation, this paper proposed a method based on histogram gradient calculation. Firstly, it smoothed the histogram of MR image so as to remove the lowest grayscale of three individuals. Then, it calculated the gradient on the preprocessed histogram. Finally, it segmented the image after calculating successfully number of objects and their gradients in which they lay. The proposed method was purely based on histogram processing for gradient calculation, so the computational complexity was reduced greatly. Experimental results on T2 weighted MR brain images show that the primary brain areas are extracted out efficiently from 2D and 3D images by the proposed method which has been successfully implemented on human brain MR images obtained in clinical environment. It has better segmentation efficiency than the several existing segmentation algorithms.
- Publication
Application Research of Computers / Jisuanji Yingyong Yanjiu, 2015, Vol 32, Issue 5, p1576
- ISSN
1001-3695
- Publication type
Article
- DOI
10.3969/j.issn.1001-3695.2015.05.074