Image Series Segmentation and Improved MC Algorithm

• Published in: Shanghai jiao tong da xue xue bao Vol. 13; no. 1; pp. 102 - 106
• Main Author: 万卫兵 施鹏飞
• Format: Journal Article
• Language: English
• Published: Heidelberg Shanghai Jiaotong University Press 01.02.2008; Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China
• Subjects: Architecture; Computer Science; Electrical Engineering; Engineering; Life Sciences; Materials Science; 图象处理; 计算方法; 计算机技术; 设计方案; active contour; TP 391; image series; image segmentation; marching cubes; isosuface
• ISSN: 1007-1172; 1995-8188
• DOI: 10.1007/s12204-008-0102-z

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.