Title
Prior based cardiac valve segmentation in echocardiographic sequences: geodesic active contour guided by region and shape prior
Abstract
This paper presents a segmentation of cardiac valve structure method in ultrasound sequence. Prior knowledge on certain complex object is a powerful guidance in image segmentation. We represent region and shape prior of the cardiac valve in a form of speed field and incorporate it into image segmentation process within level set framework. Region prior constrains the zero level set evolving in certain region and shape prior pulls the curve to the ideal contour. Experiments on a large quantity of 3D valve sequences show that the algorithm improves accuracy of segmentation and reduces the manual intervention.
Year
DOI
Venue
2005
10.1007/11492542_55
IbPRIA (2)
Keywords
Field
DocType
cardiac valve structure method,echocardiographic sequence,level set framework,certain region,geodesic active contour,valve sequence,cardiac valve,certain complex object,prior knowledge,image segmentation process,cardiac valve segmentation,zero level,image segmentation,ultrasound,level set
Computer vision,Scale-space segmentation,Pattern recognition,Segmentation,Edge detection,Computer science,Contour line,Image processing,Level set,Image segmentation,Artificial intelligence,Geodesic
Conference
Volume
ISSN
ISBN
3523
0302-9743
3-540-26154-0
Citations 
PageRank 
References 
1
0.38
9
Authors
5
Name
Order
Citations
PageRank
Yanfeng Shang1794.67
Xin Yang215318.24
Ming Zhu341.45
Biao Jin4182.10
Ming Liu510.72