Designated Target Enhancement and Segmentation in Multi-spectral MR Images
Sheng-Chih Yang, Yue-Jing He, Yi-Jyun Wun · 2016
The main objective of this study was to develop a new technique for MR Image segmentation that not only addresses the shortcomings of existing segmentation methods, but also preserves the advantages they offer, thus leading to high accuracy while segmenting the designated target from the MR image. The proposed method consists of two parts, first part is to enhance the contrast between the target and the background, and second part is to segment the target from images. In order to obtain accurate quantitative analysis and to confirm that the proposed method delivers excellent results for real MR images, experimental data were assigned into two groups: computer simulation and actual Breast MRIs. Finally, we compare the experimental results with those of several existing renowned image segmentation algorithms to confirm the advantages and contributions of the proposed method.