Ultrasonic tissue characterization via 2-D spectrum analysis: theory and in vitro measurements.

A theoretical model is described for application in ultrasonic tissue characterization using a calibrated 2-D spectrum analysis method. This model relates 2-D spectra computed from ultrasonic backscatter signals to intrinsic physical properties of tissue microstructures, e.g., size, shape, and acoustic impedance. The model is applicable to most clinical diagnostic ultrasound systems. Two experiments employing two types of tissue architectures, spherical and cylindrical scatterers, are conducted using ultrasound with center frequencies of 10 and 40 MHz, respectively. Measurements of a tissue-mimicking phantom with an internal suspension of microscopic glass beads are used to validate the theoretical model. Results from in vitro muscle fibers are presented to further elucidate the utility of 2-D spectrum analysis in ultrasonic tissue characterization.

[1]  W. O’Brien,et al.  A model for estimating ultrasound attenuation along the propagation path to the fetus from backscattered waveforms. , 2005, The Journal of the Acoustical Society of America.

[2]  Andrew Kalisz,et al.  Relationship of 2D ultrasonic spectral parameters to the physical properties of soft tissue scatterers , 2004, SPIE Medical Imaging.

[3]  Keith A Wear,et al.  Measurement of dependence of backscatter coefficient from cylinders on frequency and diameter using focused transducers--with applications in trabecular bone. , 2004, The Journal of the Acoustical Society of America.

[4]  E. Feleppa,et al.  Ultrasonic tissue-typing imaging for guiding dose escalation of prostate cancer radiotherapy , 2003 .

[5]  Robert Folberg,et al.  Spectral parameter imaging for detection of prognostically significant histologic features in uveal melanoma. , 2003, Ultrasound in medicine & biology.

[6]  William D O'Brien,et al.  Characterization of tissue microstructure using ultrasonic backscatter: theory and technique for optimization using a Gaussian form factor. , 2002, The Journal of the Acoustical Society of America.

[7]  Tian Liu,et al.  Computer-aided diagnosis of breast lesions using a multifeature analysis procedure , 2002, SPIE Medical Imaging.

[8]  C W Piccoli,et al.  Tissue classification with generalized spectrum parameters. , 2001, Ultrasound in medicine & biology.

[9]  E. Madsen,et al.  Low-reflection-coefficient liquid interfaces for system characterization. , 2001, Ultrasound in medicine & biology.

[10]  Tian Liu,et al.  Ultrasonic multifeature analysis procedures for breast lesion classification , 2000, Medical Imaging.

[11]  E J Feleppa,et al.  Three-dimensional ultrasound analyses of the prostate. , 2000, Molecular urology.

[12]  F. Lizzi,et al.  A comparison of ultrasonic beams for thermal treatment of ocular tumors. , 1999, European journal of ultrasound : official journal of the European Federation of Societies for Ultrasound in Medicine and Biology.

[13]  E J Feleppa,et al.  In vitro diagnosis of axillary lymph node metastases in breast cancer by spectrum analysis of radio frequency echo signals. , 1998, Ultrasound in medicine & biology.

[14]  E L Madsen,et al.  Estimating the spatial autocorrelation function for ultrasound scatterers in isotropic media. , 1998, Medical physics.

[15]  E Feleppa,et al.  In vivo detection of carotid plaque thrombus by ultrasonic tissue characterization , 1997, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

[16]  D J Coleman,et al.  Correlation of ultrasound parameter imaging with microcirculatory patterns in uveal melanomas. , 1997, Ultrasound in medicine & biology.

[17]  M. Insana,et al.  Modeling acoustic backscatter from kidney microstructure using an anisotropic correlation function. , 1995, The Journal of the Acoustical Society of America.

[18]  J A Zagzebski,et al.  Quantitative Ultrasound Imaging: in Vivo Results in Normal Liver , 1993, Ultrasonic imaging (Print).

[19]  R. Golub,et al.  Effect of perfusion and blood content on ultrasonic backscattering of liver tissue. , 1993, Ultrasound in medicine & biology.

[20]  T J Hall,et al.  Identifying acoustic scattering sources in normal renal parenchyma from the anisotropy in acoustic properties. , 1991, Ultrasound in medicine & biology.

[21]  J. G. Miller,et al.  Anisotropy of the ultrasonic attenuation in soft tissues: measurements in vitro. , 1990, The Journal of the Acoustical Society of America.

[22]  L. X. Yao,et al.  Backscatter Coefficient Measurements Using a Reference Phantom to Extract Depth-Dependent Instrumentation Factors , 1990, Ultrasonic imaging.

[23]  R C Waag,et al.  Spectral power determinations of compressibility and density variations in model media and calf liver using ultrasound. , 1989, The Journal of the Acoustical Society of America.

[24]  J. G. Miller,et al.  Anisotropy of the ultrasonic backscatter of myocardial tissue: I. Theory and measurements in vitro. , 1988, The Journal of the Acoustical Society of America.

[25]  K J Parker,et al.  In-vivo measurements of ultrasound attenuation in normal or diseased liver. , 1988, Ultrasound in medicine & biology.

[26]  C. Meyer,et al.  Anisotropic ultrasonic backscatter from the renal cortex. , 1988, Ultrasound in medicine & biology.

[27]  E. Feleppa,et al.  Relationship of Ultrasonic Spectral Parameters to Features of Tissue Microstructure , 1987, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

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

[29]  J. G. Miller,et al.  Regional differences in the cyclic variation of myocardial backscatter that parallel regional differences in contractile performance. , 1984, The Journal of the Acoustical Society of America.

[30]  J F Greenleaf,et al.  Scattering of ultrasound by tissues. , 1984, Ultrasonic imaging.

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

[32]  C. R. Hill,et al.  Attenuation of ultrasound in skeletal muscle. , 1979, Ultrasonics.

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

[34]  John M. Reid,et al.  Scattering of Ultrasound by Blood , 1976, IEEE Transactions on Biomedical Engineering.

[35]  J. Faran.  Sound Scattering by Solid Cylinders and Spheres , 1951 .