Spectral crosscorrelation for tissue characterization

Author

Donohue, K.D. ; Varghese, T.

Author_Institution

Dept. of Electr. Eng., Kentucky Univ., Lexington, KY, USA

fYear

1992

Firstpage

1049

Abstract

The spectral crosscorrelation (SCC) function for characterizing tissue scattering structures with ultrasonic back-scattered signals is introduced. Analytical, simulation, and experimental results (liver tissue scans containing metastases) are presented to indicate the potential of utilizing phase information through the SCC function in order to detect disruptions in the scatterer distributions due to invading cancer cells. Simulation and analytical results demonstrate that SCC functions reveal the average periodic spacings between tissue scatterers better than the power spectral density (PSD) in cases when fewer regular interscatterer spacings exist

Keywords

acoustic signal processing; bioacoustics; biomedical ultrasonics; correlation methods; liver; medical signal processing; spectral analysis; analytical results; invading cancer cells; liver tissue scans; metastases; periodic spacings; phase information; power spectral density; scatterer distributions; simulation; spectral crosscorrelation function; tissue characterization; tissue scattering structures; ultrasonic back-scattered signals; Analytical models; Biological system modeling; Data mining; Delay effects; Frequency dependence; Information analysis; Liver; Metastasis; Random variables; Rayleigh scattering;

fLanguage

English

Publisher

ieee

Conference_Titel

Ultrasonics Symposium, 1992. Proceedings., IEEE 1992

Conference_Location

Tucson, AZ

Print_ISBN

0-7803-0562-0

Type

conf

DOI

10.1109/ULTSYM.1992.276017

Filename

276017