Computer and Modernization ›› 2011, Vol. 1 ›› Issue (1): 113-4.doi: 10.3969/j.issn.1006-2475.2011.01.033

• 图像处理 • Previous Articles     Next Articles

Research on Liver Vessel Tree Segmentation Algorithm Using Hessian Matrix and Region Growing

LIU Yan-li1,2, ZHAO Wei-dong1,2, CHEN Yu-fei1,2, WANG Zhi-cheng1,2, MENG Qi-wen1,2   

  1. 1.Engineering Research Center for Enterprise Digital Technology, Ministry of Education, Tongji University, Shanghai 200092, China;2.Research Center of CAD, Tongji University, Shanghai 201804, China
  • Received:2010-09-01 Revised:1900-01-01 Online:2011-01-20 Published:2011-01-20

Abstract:

Due to the limitation of vascular imaging equipment and complexity of vascular morphology, vessel segmentation has been challenging. A method is proposed to realize 3D vessel segmentation in view of the character of CT liver vasculature, which combines Hessian matrixbased multiscale filter, morphological method and 3D region growing. Firstly, gray transformation is used to enhance region of interest, and the vasculature is enhanced using Hessianmatrixbased multiscale filter. Secondly closing operation and 3D region growing algorithm are utilized on the enhanced images. Finally, the disconnection is connected via dilation operation. Experimental results show that the method can effectively extract vasculature that is suitable for 3D reconstruction owing to their continuity and smoothing.

Key words: vessel segmentation, Hessian matrix, closing operation, 3D region growing