Automated Determination of the Magnitude and Time Delay (“Phase”) of the Cardiac Cycle Dependent Variation of Myocardial Ultrasonic Integrated Backscatter
Restricted accessResearch articleFirst published online October, 1989
Automated Determination of the Magnitude and Time Delay (“Phase”) of the Cardiac Cycle Dependent Variation of Myocardial Ultrasonic Integrated Backscatter
An algorithm for quantitative description of cardiac cycle dependent variation of integrated backscatter (cyclic variation) has been developed and is shown to be suitable for analysis of nonsinusoidal data typical of ultrasonic tissue characterization measurements from myocardium in vivo. The algorithm produces estimates of the magnitude of variation and of the time delay relative to the the electrocardiographically recorded QRS-complex. To validate the algorithm, 246 integrated backscatter measurements were analyzed both manually and by the automated method. The magnitude and time delay estimates from the two methods correlated closely. With a separate set of data, the algorithm produced reasonable descriptions of the cyclic variation for 89 of 101 integrated backscatter measurements. Only modest computational power is required for effective implementation of this algorithm, facilitating inclusion of online automated analysis capabilities in quantitative ultrasonic tissue characterization systems.
MillerJ. G.PerezJ. E.SobelB. E., Ultrasonic characterization of myocardium, Prog. Cardio. Vasc. Dis.XXVIII, 85–110 (1985).
2.
PerezJ. E.MillerJ. G.BarzilaiB.WicklineS. A.MohrG. A.WearK.VeredZ.SobelB. E., Progress in quantitative ultrasonic characterization of myocardium: from the laboratory to the bedside, J. Am. Soc. Echocardiography1, 294–305 (1988).
3.
SkortonD. J.CollinsS. M., Characterization of myocardial structure with ultrasound, in Tissue Characterization With Ultrasound, Volume II, GreenleafJames F., ed., pp. 123–146 (CRC Press, Inc., Boca Raton, Florida, 1986).
4.
SkortonD. J.MeltonH. E.PandianN. G.NicholsJ.KoyanagiS.MarcusM. L.CollinsS. M.KerberR. E., Detection of acute myocardial infarction in closed chest dogs by analysis of regional two-dimensional echocardiographic gray-level distributions, Circulation Research52, 36–44 (1983).
5.
OlshanskyB.CollinsS. M.SkortonD. J.PrasadN. V., Variation of left ventricular myocardial gray level on two-dimensional echocardiograms as a result of cardiac contraction, Circulation70, 972–977 (1984).
6.
SchnittgerI.VieliA.HeisermanJ. E.DirectorB. A.BillinghamM. E.KernoffR. S.TakamotoT.PoppR. L., Ultrasonic tissue characterization for detection of acute myocardial ischemia, Circulation68, III-330 (1983). (Abstract only).
7.
WearK. A.ShoupT. A.PoppR. L., Ultrasonic characterization of canine myocardium contraction, IEEE Trans. Ultrasonics, Ferroelectrics, and Frequency ControlUFFC-33, 347–353 (1986).
8.
LinkerD. T.AngelsenB. A. J.PoppR. L., Acoustic microscopy of normal and myopathic human myocardium: implications for ultrasonic tissue characterization, J. Am. Coll. Cardiology.9, 211A (1987). (Abstract only).
9.
FeiD. Y.ShungK. K.WilsonT. M., Ultrasonic backscatter from bovine tissues: variation with pathology, J. Acoust. Soc. Am.81, 166–172 (1987).
10.
BhandariA. K.NandaN. C., Myocardial texture characterization by two-dimensional echocardiography, Am. J. Cardiology51, 817–825 (1983).
11.
AnthonyP.ChandraratnaN.UleneR.NimalasuriyaA.ReidC.KawanishiD.RahimtoolaS. H., Differentiation between acute and healed myocardial infarction by signal averaging and color encoding two-dimensional echocardiography, Am. J. Cardiol.56, 381–384 (1985).
12.
RhyneT. L.SagarK. B.WannS. L.HaaslerG., The myocardial signature: absolute backscatter, cyclical variation, frequency variation, and statistics, Ultrasonic Imaging8, 107–120 (1986).
13.
SagarK. B.RhyneT. L.WarltierD. C.PelcL.WannL. S., Intramyocardial variability in integrated backscatter: effects of coronary occlusion and reperfusion, Circulation75, 436–442 (1987).
14.
SagarK. B.PelcL. E.RhyneT. L.WannS.WaltierD. C., Influence of heart rate, preload, afterload, and inotropic state on myocardial ultrasonic backscatter, Circulation77, 478–483 (1988).
15.
KumarA.JonesJ. P.RosinB.ChandraratnaP. A. N., Characterization of myocardial tissue using a simple attenuation estimator based on the amplitude of echo waveforms, Ultrasonic Imaging9, 56 (1987). (Abstract only).
16.
ChandrasekaranK.GreenleafJ. G.RobinsonB. S.EdwardsW. D.SewardJ. B.TajikA. J., Echocardiographic visualization of acute myocardial ischemia — in vitro study, Ultrasound in Med. & Biol.12, 785–793 (1986).
17.
TanakaM.NittaS.NittaK.SogoY.YamamotoA.KatahiraY.SatoN.OhkawaiH.TezukaF., Non-invasive estimation by cross sectional echocardiography of myocardial damage in cardiomyopathy, British Heart J.53, 137–152 (1985).
18.
FitzgeraldP. J.McDanielM. D.RolettE. L.StrohbehnJ. W.JamesD. H., Two-dimensional ultrasonic tissue characterization: backscatter power, endocardial wall motion, and their phase relationship for normal, ischemic, and infarcted myocardium, Circulation76, 850–859 (1987).
19.
MimbsJ. W.BauwensD.CohenR. D.O'DonnellM.L.MillerJ. G.SobelB. E., Effects of myocardial ischemia on quantitative ultrasonic backscatter and identification of responsible determinants, Circulation Research49, 89–96 (1981).
20.
CohenR. D.MottleyJ. G.MillerJ. G.KurnikP. B.SobelB. E., Detection of ischemic myocardium in vivo through the chest wall by quantitative ultrasonic tissue characterization, Am. J. Cardiology50, 838–843 (1982).
21.
PerezJ. E.BarzilaiB.MadarasE. I.GlueckR. M.SaffitzJ. E.JohnstonP. H.MillerJ. G.SobelB. E., Applicability of ultrasonic tissue characterization for longitudinal assessment and differentiation of calcification and fibrosis in cardiomyopathy, J. Am. Coll. Cardiology4, 88–95 (1984).
22.
MadarasE. I.BarzilaiB.PerezJ. E.SobelB. E.MillerJ. G., Changes in myocardial backscatter throughout the cardiac cycle, Ultrasonic Imaging5, 229–239 (1983).
23.
BarzilaiB.MadarasE. I.SobelB. E.MillerJ. G.PerezJ. E., Effects of myocardial contraction on ultrasonic backscatter before and after ischemia, Am. J. Physiol. Soc. (Heart Circ. Physiol. 16) 247, H478–H483 (1984).
24.
WicklineS. A.ThomasL. J.IIIMillerJ. G.SobelB. E.PerezJ. E., The dependence of myocardial ultrasonic integrated backscatter on contractile performance, Circulation72, 183–192 (1985).
25.
GlueckR. M.MottleyJ. G.MillerJ. G.SobelB. E.PerezJ. E., Effects of coronary artery occlusion and reperfusion on cardiac cycle-dependent variation of myocardial ultrasonic backscatter, Circulation Research56, 683–689 (1985).
26.
VeredZ.BarzilaiB.MohrG. A., Sobel, B. E., Shoup, T. A., Melton, H. E., Miller, J. G., and Perez, J. E., Quantitative ultrasonic tissue characterization with real-time integrated backscatter imaging in normal human subjects and in patients with dilated cardiomyopathy, Circulation76, 1067–1073 (1987).
27.
VeredZ.MohrG. A.GesslerC.WicklineS. A.BarzilaiB.WearK. A.MillerJ. G.PerezJ. E., Ultrasonic integrated backscatter characterization of remote myocardial infarction in man, Circulation76, IV-44 (1987). (Abstract only).
MottleyJ. G.GlueckR. M.PerezJ. E.SobelB. E.MillerJ. G., Regional differences in the cyclic variation of myocardial backscatter that parallel regional differences in contractile performance, J. Acoust. Soc. Am.76, 1617–1623 (1984).
30.
WicklineS. A.ThomasL. J.IIIMillerJ. G.SobelB. E.PerezJ. E., Sensitive detection of the effects of reperfusion on myocardium by ultrasonic tissue characterization with integrated backscatter, Circulation74, 389–400 (1986).
31.
VeredZ.BarzilaiB.CourtoisM.MohrG. A.WearK. A.ShoupT. A.MeltonH. E.LudbrookP. A.SobelB. E.MillerJ. G.PerezJ. E., Detection of myocardial ischemia and reperfusion in intact dogs with real-time ultrasonic backscatter imaging, J. Am. Coll. Cardiology11, 5A (1988). (Abstract only).
32.
MarchandP.MarmetL., Binomial smoothing filter: a way to avoid some pitfalls of least squares polynomial smoothing, Rev. Sci. Instrum.54, 1034–1041 (1983).
