DocumentCode :
2355736
Title :
Semi-automated segmentation and registration of triggered three-dimensional echocardiographic images as a basis for volumetric analysis of myocardial perfusion
Author :
Veronesi, F. ; Mor-Avi, V. ; Toledo, E. ; Corsi, C. ; Collins, KA ; Lammertin, G. ; Lamberti, C. ; Lang, RM ; Caiani, EG
Author_Institution :
Univ. of Bologna, Bologna
fYear :
2008
fDate :
14-17 Sept. 2008
Firstpage :
17
Lastpage :
20
Abstract :
We developed a technique for automated identification of 3D myocardial ROI suitable for translation-free quantification of myocardial videointensity over time, MVI(t), from RT3DE images. Our software was tested on 12 ECG-triggered RT3DE datasets obtained in pigs during transient contrast inflow. Analysis included: (1) semi-automated detection of endo- and epicardial surfaces using level-set techniques to define a 3D myocardial ROI, (2) rigid 3D registration to reduce translation and rotation, (3) elastic 3D registration to compensate for deformation, and (4) quantification of MVI(t) with and without registration to assess its effectiveness. Analysis of myocardial contrast throughout contrast inflow was feasible in all datasets. 3D registration improved MVI(t) curves in terms of both % variability during steady-state enhancement: 2.8plusmn1.8% to 1.5plusmn0.9%, and goodness of fit to the indicator dilution equation MVI(t)=Aldr(1-exp(-betat)): r2 from 0.79plusmn0.2 to 0.90plusmn0.1. This is the first study to describe a new technique for semi-automated volumetric quantification of myocardial contrast from RT3DE images that includes registration and thus provides the basis for 3D measurement of myocardial perfusion.
Keywords :
echocardiography; haemorheology; image registration; image segmentation; medical image processing; ECG-triggered RT3DE datasets; deformation; elastic 3D registration; endocardial surface; epicardial surface; indicator dilution equation; myocardial perfusion; myocardial videointensity; pigs; semiautomated segmentation; semiautomated volumetric quantification; three-dimensional echocardiographic images; transient contrast inflow; Cardiology; Equations; Image analysis; Image registration; Image segmentation; Myocardium; Optical imaging; Steady-state; Testing; Volume measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology, 2008
Conference_Location :
Bologna
ISSN :
0276-6547
Print_ISBN :
978-1-4244-3706-1
Type :
conf
DOI :
10.1109/CIC.2008.4748966
Filename :
4748966
Link To Document :
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