The Myocardial Signature: Absolute Backscatter, Cyclical Variation, Frequency Variation, and Statistics

This paper studies the absolute myocardial backscatter as a function of the frequency and phase of the cardiac cycle. This was achieved by calibration of the ultrasonic instrumentation and the random diffraction process. We have discovered a first-order model in which the scattering from the myocardium is Rayleigh scattering with a cardiac cycle variation in the scattering cross section. Furthermore, the statistics are approximately those of a radio frequency waveform with two independent Gaussian components (Rayleigh envelope). Deviations from the first-order model suggest measurable fine structure related to myocardial ultrastructure. This model has profound effects on the choice of optimal radiation patterns and signal processing schemes for preparing diagnostic parameters (e.g., integrated backscatter).

[1]  J. G. Miller,et al.  A relationship between ultrasonic integrated backscatter and myocardial contractile function. , 1985, The Journal of clinical investigation.

[2]  J. G. Miller,et al.  Ultrasonic characterization of myocardium. , 1985, Progress in cardiovascular diseases.

[3]  J E Heiserman,et al.  Ultrasonic tissue characterization: detection of acute myocardial ischemia in dogs. , 1985, Circulation.

[4]  J. G. Miller,et al.  The dependence of myocardial ultrasonic integrated backscatter on contractile performance. , 1985, Circulation.

[5]  J. G. Miller,et al.  Effects of Coronary Artery Occlusion and Reperfusion on Cardiac Cycle‐Dependent Variation of Myocardial Ultrasonic Backscatter , 1985, Circulation research.

[6]  J. G. Miller,et al.  Changes in myocardial backscatter throughout the cardiac cycle. , 1983, Ultrasonic imaging.

[7]  S. M. Collins,et al.  Quantitative texture analysis in two-dimensional echocardiography: application to the diagnosis of experimental myocardial contusion. , 1983, Circulation.

[8]  E. Feleppa,et al.  Theoretical framework for spectrum analysis in ultrasonic tissue characterization. , 1983, The Journal of the Acoustical Society of America.

[9]  Pramode K. Bhagat,et al.  Attenuation and Backscattering of Ultrasound in Freshly Excised Animal Tissues , 1980, IEEE Transactions on Biomedical Engineering.

[10]  T. Rhyne,et al.  Acoustic Instrumentation and Characterization of Lung Tissue , 1978 .

[11]  T. Rhyne An improved interpretation of Mason's model for piezoelectric plate transducers , 1978, IEEE Transactions on Sonics and Ultrasonics.

[12]  J. G. Miller,et al.  Ultrasonic attenuation of myocardial tissue: dependence on time after excision and on temperature. , 1977, The Journal of the Acoustical Society of America.

[13]  Theodore Lauer Rhyne,et al.  Radiation coupling of a disk to a plane and back or a disk to a disk: An exact solution , 1977 .

[14]  Harry L. Van Trees,et al.  Detection, Estimation, and Modulation Theory, Part I , 1968 .

[15]  I. Miller Probability, Random Variables, and Stochastic Processes , 1966 .

[16]  T. A. Shoup,et al.  Ultrasonic Characterization of Canine Myocardium Contraction , 1986, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[17]  L.J. Thomas,et al.  A Real-Time Integrated Backscatter Measurement System for Quantitative Cardiac Tissue Characterization , 1986, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[18]  T. Rhyne,et al.  Analysis of random backscatter in the presence of static reflection components. , 1984, Ultrasonic imaging (Print).

[19]  Matthew O'Donnell,et al.  Broadband Integrated Backscatter: An Approach to Spatially Localized Tissue Characterization in Vivo , 1979 .