Spectral crosscorrelation for tissue characterization

K. D. Donohue; T. Varghese

doi:10.1109/ULTSYM.1992.276017

Spectral crosscorrelation for tissue characterization

K. D. Donohue, T. Varghese

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

This paper introduces the spectral crosscorrelation (SCC) function for characterizing tissue scattering structures with ultrasonic back-scattered signals. 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 less regular inter-scatterer spacings exist.

Original language	English
Title of host publication	1992 Ultrasonics Symposium Proceedings
Pages	1049-1052
Number of pages	4
ISBN (Electronic)	0780305620
DOIs	https://doi.org/10.1109/ULTSYM.1992.276017
State	Published - 1992
Event	1992 Ultrasonics Symposium - Tucson, United States Duration: Oct 20 1992 → Oct 23 1992

Publication series

Name	Proceedings - IEEE Ultrasonics Symposium
Volume	1992-October
ISSN (Print)	1051-0117

Conference

Conference	1992 Ultrasonics Symposium
Country/Territory	United States
City	Tucson
Period	10/20/92 → 10/23/92

Bibliographical note

Publisher Copyright:
© 1992 IEEE.

ASJC Scopus subject areas

Acoustics and Ultrasonics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ULTSYM.1992.276017

Cite this

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title = "Spectral crosscorrelation for tissue characterization",

abstract = "This paper introduces the spectral crosscorrelation (SCC) function for characterizing tissue scattering structures with ultrasonic back-scattered signals. 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 less regular inter-scatterer spacings exist.",

author = "Donohue, {K. D.} and T. Varghese",

note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; 1992 Ultrasonics Symposium ; Conference date: 20-10-1992 Through 23-10-1992",

year = "1992",

doi = "10.1109/ULTSYM.1992.276017",

language = "English",

series = "Proceedings - IEEE Ultrasonics Symposium",

pages = "1049--1052",

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T1 - Spectral crosscorrelation for tissue characterization

AU - Donohue, K. D.

AU - Varghese, T.

PY - 1992

Y1 - 1992

N2 - This paper introduces the spectral crosscorrelation (SCC) function for characterizing tissue scattering structures with ultrasonic back-scattered signals. 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 less regular inter-scatterer spacings exist.

AB - This paper introduces the spectral crosscorrelation (SCC) function for characterizing tissue scattering structures with ultrasonic back-scattered signals. 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 less regular inter-scatterer spacings exist.

UR - http://www.scopus.com/inward/record.url?scp=27744486933&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=27744486933&partnerID=8YFLogxK

U2 - 10.1109/ULTSYM.1992.276017

DO - 10.1109/ULTSYM.1992.276017

M3 - Conference contribution

AN - SCOPUS:27744486933

T3 - Proceedings - IEEE Ultrasonics Symposium

SP - 1049

EP - 1052

BT - 1992 Ultrasonics Symposium Proceedings

T2 - 1992 Ultrasonics Symposium

Y2 - 20 October 1992 through 23 October 1992

ER -

Spectral crosscorrelation for tissue characterization

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this