Paper Info
Title
Automatic computation of 2D cardiac measurements from B-mode echocardiography
Abstract
We propose a robust and fully automatic algorithm which computes the 2D echocardiography measurements recommended by America Society of Echocardiography. The algorithm employs knowledge-based imaging technologies which can learn the expert's knowledge from the training images and expert's annotation. Based on the models constructed from the learning stage, the algorithm searches initial location of the landmark points for the measurements by utilizing heart structure of left ventricle including mitral valve aortic valve. It employs the pseudo anatomic M-mode image generated by accumulating the line images in 2D parasternal long axis view along the time to refine the measurement landmark points. The experiment results with large volume of data show that the algorithm runs fast and is robust comparable to expert.
Year
DOI
Venue
2012
10.1117/12.911734
Proceedings of SPIE
Keywords
Field
DocType
Echocardiography,Parasternal long axis,Automatic measurement,Anatomic M-mode,Knowledge-based imaging,LVSd,LVIDd,LVPWd,LVSs,LVIDs,LVPWs
Computer vision,Heart structure,Aortic valve,Parasternal long axis view,Ventricle,Artificial intelligence,Landmark,Mitral valve,Physics,Computation
Conference
Volume
ISSN
Citations 
8315
0277-786X
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Jin Hyeong Park1263.04
shaolei feng200.68
Zhou S. Kevin347441.40