Paper Info
Title
Automated Identification and Measurement of Objects via Populations of Medial Primitives, with Application to Real Time 3D Echocardiography
Abstract
We suggest that Identification and measurement of objects in 3D images can be automatic, rapid and stable, based on the statistical properties of populations of medial primitives sought throughout the image space. These properties include scale, orientation, endness, and medial dimensionality. The property of medial dimensionality differentiates the sphere, the cylinder, and the slab, with intermediate dimensionality also possible. Endness results at the cap of a cylinder or the edge of a slab. The values of these medial properties at just a few locations provide an intuitive and robust model for complex shape. For example, the left ventricle during systole can be described as a large cylinder with an apical cap at one end, a slab-like mitral valve at the other (closed during systole), and appropriate interrelations among components in terms of their scale, orientation, and location. We demonstrate our method on simple geometric test objects, and show it capable of automatically identifying the left ventricle and measuring its volume in vivo using Real-Time 3D echocardiography.
Year
DOI
Venue
1999
10.1007/3-540-48714-X_7
IPMI
Keywords
Field
DocType
large cylinder,medial property,automated identification,medial primitive,endness result,medial dimensionality,complex shape,medial primitives,left ventricle,real time,apical cap,intermediate dimensionality,appropriate interrelation,statistical analysis,3d imaging
Computer vision,Boundary (topology),Pattern recognition,Computer science,Cylinder,Medial axis,Slab,Curse of dimensionality,Ventricle,Artificial intelligence,3d echocardiography,Mitral valve
Conference
Volume
ISSN
ISBN
1613
0302-9743
3-540-66167-0
Citations 
PageRank 
References 
6
1.09
6
Authors
2
Name
Order
Citations
PageRank
George D. Stetten114622.70
Stephen M. Pizer22000262.21