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An eSnake model for medical image segmentation
Lu, HY ; Yuan, KH ; Bao, SL ; Zu, DL ; Duan, CJ
2005
关键词image segmentation eSnake external force electrostatic field balloon force GRADIENT VECTOR FLOW ACTIVE CONTOURS SNAKES
英文摘要A novel scheme of external force for detecting the object boundary of medical image based on Snakes (active contours) is introduced in the paper. In our new method, an electrostatic field on a template plane above the original image plane is designed to form the map of the external force. Compared with the method of Gradient Vector Flow (GVF), our approach has clear physical meanings. It has stronger ability to conform to boundary concavities, is simple to implement, and reliable for shape segmenting. Additionally, our method has larger capture range for the external force and is useful for medical image preprocessing in various applications. Finally, by adding the balloon force to the electrostatic field model, our Snake is able to represent long tube-like shapes or shapes with significant protrusions or bifurcations, and it has the specialty to prevent Snake leaking from large gaps on image edge by using a two-stage segmentation technique introduced in this paper. The test of our models proves that our methods are robust, precise in medical image segmentation.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000230873800007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Materials Science, Multidisciplinary; Multidisciplinary Sciences; SCI(E); 1; ARTICLE; 5; 424-429; 15
语种英语
出处SCI
出版者progress in natural science materials international
内容类型其他
源URL[http://hdl.handle.net/20.500.11897/399479]  
专题数学科学学院
推荐引用方式
GB/T 7714
Lu, HY,Yuan, KH,Bao, SL,et al. An eSnake model for medical image segmentation. 2005-01-01.
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