Physiological models of transmitral flow predict E-wave contour altera
tion in response to variation of model parameters (stiffness, relaxati
on, mass) reflecting the physiology of hypertension. Accordingly, anal
ysis of only the E-wave (rather than the E-to-A ratio) should be able
to differentiate between hypertensive subjects and control subjects. C
onventional versus model-based image processing methods have never bee
n compared in their ability to differentiate E-waves of hypertensive s
ubjects with respect to age-matched control subjects. Digitally acquir
ed transmitral Doppler flow images were analyzed by an automated model
-based image processing method. Model-derived indexes were compared wi
th conventional E-wave indexes in 22 subjects: 11 with hypertension an
d echocardiographically verified ventricular hypertrophy and 11 age-ma
tched nonhypertensive control subjects. Conventional E-wave indexes in
cluded peak E, integral E, and acceleration and deceleration times. Mo
del-based image processing-derived indexes included acceleration ard d
eceleration times, potential energy index, and damping and kinematic c
onstants. Inter-group comparison yielded lower probability values for
model-based compared with conventional indexes. In the subjects studie
d, Doppler E-wave images analyzed by this automated method (which elim
inates the need for hand-digitizing contours or the manual placement o
f cursors) demonstrate diastolic function alteration secondary to hype
rtension made discernible by model-based indexes. The method uses the
entire E-wave contour, quantitatively differentiates between hypertens
ive subjects and control subjects, and has potential for automated non
invasive diastolic function evaluation in large patient populations, s
uch as hypertension and other transmitral flow velocity-altering patho
physiological states.