Image Series Segmentation and Improved MC Algorithm
Image Series Segmentation and Improved MC Algorithm作者机构:Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University
出 版 物:《Journal of Shanghai Jiaotong university(Science)》 (上海交通大学学报(英文版))
年 卷 期:2008年第13卷第1期
页 面:102-106页
核心收录:
学科分类:081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:image series active contour image segmentation isosuface marching cubes
摘 要:A semiautomatic segmentation method based on active contour is proposed for computed tomography (CT) image series. First, to get initial contour, one image slice was segmented exactly by C-V method based on Mumford-Shah model. Next, the computer will segment the nearby slice automatically using the snake model one by one. During segmenting of image slices, former slice boundary, as next slice initial contour, may cross over next slice real boundary and never return to right position. To avoid contour skipping over, the distance variance between two slices is evaluated by an threshold, which decides whether to initiate again. Moreover, a new improved marching cubes (MC) algorithm based on 2D images series segmentation boundary is given for 3D image reconstruction. Compared with the standard method, the proposed algorithm reduces detecting time and needs less storing memory. The effectiveness and capabilities of the algorithm were illustrated by experimental results.