Segmentation of MRI Volume Data Based on Clustering Method
| Autor: | Ji Dongsheng, Chen Peng, Zhang Chi |
|---|---|
| Jazyk: | English<br />French |
| Rok vydání: | 2016 |
| Předmět: | |
| Zdroj: | MATEC Web of Conferences, Vol 61, p 02010 (2016) |
| Druh dokumentu: | article |
| ISSN: | 2261-236X 99295148 |
| DOI: | 10.1051/matecconf/20166102010 |
| Popis: | Here we analyze the difficulties of segmentation without tag line of left ventricle MR images, and propose an algorithm for automatic segmentation of left ventricle (LV) internal and external profiles. Herein, we propose an Incomplete K-means and Category Optimization (IKCO) method. Initially, using Hough transformation to automatically locate initial contour of the LV, the algorithm uses a simple approach to complete data subsampling and initial center determination. Next, according to the clustering rules, the proposed algorithm finishes MR image segmentation. Finally, the algorithm uses a category optimization method to improve segmentation results. Experiments show that the algorithm provides good segmentation results. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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