A fast medical image segmentation method of based on initial contour forecast segmentation model. (2016)

• Record Type: Journal Article
• Authors: Peng, Yanjun; Zhu, Yuxiang; Wang, Yuanhong
• Is Part Of: International journal of computing science and mathematics. Volume 7:Number 3(2016)
• Page Start: 212
• Page End: 220
• Publication Date: 2016
• Subjects: clustering -- parallel design -- image segmentation -- active contour models -- medical images -- initial contour forecast segmentation -- node allocation -- task allocation -- load balancing; Mathematics -- Periodicals; Computer science -- Periodicals; Mathematics -- Data processing -- Periodicals; 510.285
• Languages: English
• ISSNs: 1752-5055

Abstract

A fast segmentation algorithm of single medical image and sequence images based on active contour model are proposed in this paper. We give out the initial contour forecast segmentation model of 3D medical image first, and then, numerical solution of the image segmentation model algorithm is presented, send data blocks to different processors to do numerical calculations, finally combine the segmentation results. At the same time, parallel designing methods of node allocation, task allocation and load balancing methods are researched. The experiment results show that the parallel method can significantly improve the segmentation speed of 3D medical image.