Improved fuzzy entropy clustering algorithm for MRI brain image segmentation

2014 ◽  
Vol 24 (4) ◽  
pp. 277-283 ◽  
Author(s):  
Hanuman Verma ◽  
Ramesh K. Agrawal ◽  
Naveen Kumar
Keyword(s):  
Image Segmentation ◽  
Clustering Algorithm ◽  
Fuzzy Entropy ◽  
Brain Image ◽  
Mri Brain ◽  
Mri Brain Image ◽  
Brain Image Segmentation

Automatic MRI Brain Image Segmentation Using Gravitational Search-Based Clustering Technique

2017 ◽  
pp. 115-130
Author(s):  
Vijay Kumar ◽  
Jitender Kumar Chhabra ◽  
Dinesh Kumar
Keyword(s):  
Image Segmentation ◽  
Brain Images ◽  
Brain Image ◽  
Clustering Technique ◽  
Mri Brain ◽  
Gravitational Search ◽  
The Brain ◽  
Mri Brain Image ◽  
Brain Tissues ◽  
Brain Image Segmentation

Image segmentation plays an important role in medical imaging applications. In this chapter, an automatic MRI brain image segmentation framework using gravitational search based clustering technique has been proposed. This framework consists of two stage segmentation procedure. First, non-brain tissues are removed from the brain tissues using modified skull-stripping algorithm. Thereafter, the automatic gravitational search based clustering technique is used to extract the brain tissues from the skull stripped image. The proposed algorithm has been applied on four simulated T1-weighted MRI brain images. Experimental results reveal that proposed algorithm outperforms the existing techniques in terms of the structure similarity measure.

A comparison of the tissue classification and the segmentation propagation techniques in MRI brain image segmentation

2005 ◽  
Author(s):  
Jinsong Ren ◽  
Beatrix Sneller ◽  
Daniel Rueckert ◽  
Joseph Hajnal ◽  
Rolf Heckemann ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Tissue Classification ◽  
Brain Image ◽  
Mri Brain ◽  
Mri Brain Image ◽  
Brain Image Segmentation
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