Automated determination of left ventricular volume curves from bi-plane digital angiography without explicit use of edge detection algorithms.
Automated computation of left ventricular (LV) global and regional function using contrast angiography has not yet become a routine procedure with the advent of digital cardiac imaging systems. We describe a new technique to compute LV volume curves which does not require the use of manual or semi-automated detection of endocardial borders and provides on-line implementation of volumetric curves and computation of pressure volume loops during catheterization. The approach uses the concepts of variable entropy (or information) of left ventricular images throughout the cardiac cycle. LV volume curves are computed with an interpolation scheme using those LV volume curves of a patient data base which are associated with the closest variation in entropy in the RAO projection to the analyzed patient data according to a simple metric. Computed LV volume curves were correlated with those obtained with manual tracing. Left ventricular ejection fraction (LVEF), time to end systole (TES) and angiographic cardiac output (CO) were compared to those obtained with the manual method. Results using a data base of 365 patients revealed excellent correlation (r = 0.97) between manually derived volume curves and volume curves computed with the automated technique within a large range of LVEFs. In 87% of all cases the computed LVEF values were found within +/- 10% of the value obtained with the gold standard method. The systolic phase of the volume curves showed that 81% of all cases had the same accuracy. The TES showed much more variation due to undersampling of the cardiac cycle in time (r = 0.71).
Raff
U
U
University of Colorado Health Sciences Center Department of Radiology, Denver, USA.
Vargas
P F
PF
Groves
B M
BM
D000465:Algorithms; D000790:Angiocardiography / Q000379:methods*; D015901:Angiography, Digital Subtraction; D006801:Humans; D017379:Hypertrophy, Left Ventricular / Q000000981:diagnostic imaging*; D007091:Image Processing, Computer-Assisted; D008955:Models, Cardiovascular; D008962:Models, Theoretical; D016277:Ventricular Function, Left