Relationship of Ultrasonic Spectral Parameters to Features of Tissue Microstructure

Absfract-&mlytical studies have been conducted to investigate the importance of specific tissue features in determining ultrasonic spectral “signatures” that have proven to be diagnostically useful. Three models of tissue microstructure were considered, and calibrated power spectra were computed for a series of scatterer sizes, concentrations, and acoustic impedances. General results were obtained, then specific parameters were employed to simulate studies of the eye and liver. These results were compared to clinical data-base information, and excellent correspondence was found. Studies using acoustic microscopy, test objects, and clinical data are continuing to refine the analytical model. I. INTRODUCTION U

[1]  J. G. Miller,et al.  The relationship between collagen and ultrasonic attenuation in myocardial tissue. , 1979, The Journal of the Acoustical Society of America.

[2]  R. Gramiak,et al.  Frequency-dependent angle scattering of ultrasound by liver. , 1982, The Journal of the Acoustical Society of America.

[3]  Frederic L. Lizzi,et al.  Tissue Signature Characterization Utilizing Frequency Domain Analysis , 1976 .

[4]  F. G. Sommer,et al.  Ultrasonic Characterization of Tissue Structure in the In Vivo Human Liver and Spleen , 1984, IEEE Transactions on Sonics and Ultrasonics.

[5]  E. Feleppa,et al.  Focal and diffuse liver disease studied by quantitative microstructural sonography. , 1985, Radiology.

[6]  D J Coleman,et al.  A model for acoustic characterization of intraocular tumors. , 1985, Investigative ophthalmology & visual science.

[7]  R. Kuc Clinical Application of an Ultrasound Attenuation Coefficient Estimation Technique for Liver Pathology Characterization , 1980, IEEE Transactions on Biomedical Engineering.

[8]  P A Narayana,et al.  On the validity of the linear approximation in the parametric measurement of attenuation in tissues. , 1983, Ultrasound in medicine & biology.

[9]  D J Coleman,et al.  REGRESSION OF UVEAL MALIGNANT MELANOMAS FOLLOWING COBALT-60 PLAQUE: Correlates Between Acoustic Spectrum Analysis and Tumor Regression , 1985, Retina.

[10]  D. Nicholas,et al.  EVALUATION OF BACKSCATTERING COEFFICIENTS FOR EXCISED HUMAN TISSUES: RESULTS, INTERPRETATION AND ASSOCIATED MEASUREMENTS , 1982 .

[11]  E J Feleppa,et al.  Diagnostic spectrum analysis in ophthalmology: a physical perspective. , 1986, Ultrasound in medicine & biology.

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

[13]  K J Parker,et al.  Attenuation of ultrasound: magnitude and frequency dependence for tissue characterization. , 1984, Radiology.

[14]  D J Coleman,et al.  Computerized ultrasonic tissue characterization of ocular tumors. , 1983, American journal of ophthalmology.