Title :
A Seepage Flow Model for Vertebra CT Image Segmentation
Author :
Li, Haiyun ; Wang, Zheng
Author_Institution :
Coll. of Biomed. Eng., Capital Univ. of Medical Sci., Beijing
Abstract :
A seepage flow model for medical image segmentation has been presented, which linked to the natural phenomenon of "water seeks its own level". The seepage flow to form the segmented pixel set by submerging all the pixels that are r-connected to the initial spring head pixels and also fall within the submerging threshold limits, the moving water fronts keep adding to the segmented pixel set all the pixels until no more pixels fall within the submerging criterion. Based on Mumford-Shah function. A new merit function for criterion has been produced which possess two main kind of measurement reflecting the characteristic of region and contour respectively. Examples are presented to demonstrate the efficiency the model on clinical images segmentation
Keywords :
computerised tomography; image segmentation; medical image processing; Mumford-Shah function; moving water fronts; r-connected pixels; seepage flow model; spring head pixels; submerging threshold limits; vertebra CT image segmentation; Biomedical engineering; Biomedical imaging; Biomedical measurements; Computed tomography; Educational institutions; Head; Image edge detection; Image segmentation; Pixel; Springs; contour detection; image segmentation; seepage flow model;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615953
