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 |
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Title of host publication | 1992 Ultrasonics Symposium Proceedings |
Pages | 1049-1052 |
Number of pages | 4 |
ISBN (Electronic) | 0780305620 |
DOIs | |
State | Published - 1992 |
Event | 1992 Ultrasonics Symposium - Tucson, United States Duration: Oct 20 1992 → Oct 23 1992 |
Publication series
Name | Proceedings - IEEE Ultrasonics Symposium |
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Volume | 1992-October |
ISSN (Print) | 1051-0117 |
Conference
Conference | 1992 Ultrasonics Symposium |
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Country/Territory | United States |
City | Tucson |
Period | 10/20/92 → 10/23/92 |
Bibliographical note
Funding Information:This material is based on work supported in part by the National Science Foundation, Grant MIP- 8920602, the National Cancer Institute and National Institutes of Health, Grant CA52823, and by BRSG S07 RR07114-23 awarded by the Biomedical Research Support Grant Program, Division of Research Resources, National Institute of Health.
Funding Information:
This material is based on work supported in part by the National Science Foundation, Grant MIP-8920602, the National Cancer Institute and National Institutes of Health, Grant CA52823, and by BRSG SO7 RRO7114-23 awarded by the Biomedical Research Sup- port Grant Program, Division of Research Resources, National Institute of Health.
Publisher Copyright:
© 1992 IEEE.
ASJC Scopus subject areas
- Acoustics and Ultrasonics