DocumentCode
2035344
Title
Automatic segmentation of the heart muscle from echocardiographic images
Author
Sirbu, Laura ; Thijssen, Johan ; Florea, Corneliu ; Buzuloiu, Vasile ; DeKorte, Chris
Author_Institution
Image Process. & Anal. Lab. (LAPI), Politehnica Univ. of Bucuresti, Romania
Volume
1
fYear
2005
fDate
14-15 July 2005
Firstpage
39
Abstract
This paper presents a fully automated method for endocardial and epicardial contour estimation from sequences of echocardiographic images using a short axis view of the left ventricle. The segmentation is performed by maximum likelihood estimation, separating the Rayleigh modes that model the regions of interest (inside endocardium, between endocardium and epicardium, or outside epicardium). The presented method leads to a fully automatic myocardial segmentation to be further used for strain estimation.
Keywords
echocardiography; image segmentation; maximum likelihood estimation; Rayleigh modes; automatic segmentation; echocardiographic images; heart muscle; image segmentation; maximum likelihood estimation; Blood; Capacitive sensors; Heart; Image analysis; Image processing; Image segmentation; Laboratories; Muscles; Myocardium; Ultrasonic imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Circuits and Systems, 2005. ISSCS 2005. International Symposium on
Print_ISBN
0-7803-9029-6
Type
conf
DOI
10.1109/ISSCS.2005.1509845
Filename
1509845
Link To Document