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- Title
Analysis and segmentation of MRI volume data based on KmGAC model.
- Authors
Ji, Dongsheng; Li, Xiyan; Yang, Qingjun; Ma, Tao; Chen, Xiaoyun
- Abstract
Here we analyze the difficulties of segmentation without tag line of left ventricle MR images, and propose an algorithm for automatic segmentation of MRI volume data (VD) target profiles. Herein, we propose Geometric active contour model based on K-means clustering (KmGAC) method. Initially, using Hough operator to automatically locate initial contour of VD, the algorithm uses clustering approach to complete data subsampling and initial center determination. Next, according to the clustering rules, the proposed algorithm finishes MRI VD segmentation. Finally, the algorithm uses a category optimization method to improve segmentation results. Experiments show that the algorithm provides good segmentation results.
- Subjects
IMAGE segmentation; MAGNETIC resonance imaging; K-means clustering; HOUGH functions; DATA mining
- Publication
Multimedia Tools & Applications, 2017, Vol 76, Issue 16, p17075
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-016-3679-5