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.
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Acknowledgments
This paper is supported by Science and Technology Plan of Gansu Province (No.1308RJZA266) and Gansu Radio & TV university youth fund project (NO.QN201501).
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Ji, D., Li, X., Yang, Q. et al. Analysis and segmentation of MRI volume data based on KmGAC model. Multimed Tools Appl 76, 17075–17093 (2017). https://doi.org/10.1007/s11042-016-3679-5
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DOI: https://doi.org/10.1007/s11042-016-3679-5