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Proceedings Paper

Benchmark solution for ultrasonic imaging of tumors
Author(s): Mark K. Hinders; Ta-Ming Fang; B. Rhodes; J. Collins; M. McNaughton Collins; Guido V.H. Sandri
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Paper Abstract

Ultrasonic imaging of tumors in the human body requires benchmark scattering solutions in order to characterize most accurately the size, location, and physical makeup of the tumor. In this paper, the scattering of ultrasound from spherical tumors in the human body is investigated theoretically. Both the tumor and the surrounding tissue are considered to be lossy elastic media, and the problem of the scattering of plane compressional elastic waves from an elastic sphere is solved analytically. With exact expressions for the fields scattered by the spherical tumor, the angular distribution of scattered energy is used to derive an ultrasonically measurable backscatter coefficient for the tumor. The analysis is general in that no restriction is placed on either the size of the tumor or the range of values of either the tissue parameters or the frequency of the ultrasound waves. The behavior of the scattered energy, as well as the ultrasonic backscatter coefficient, is then investigated numerically for representative values of tumor and surrounding tissue material parameters. Useful phenomena for ultrasonic imaging of tumors are also discussed.

Paper Details

Date Published: 26 June 1992
PDF: 12 pages
Proc. SPIE 1660, Biomedical Image Processing and Three-Dimensional Microscopy, (26 June 1992); doi: 10.1117/12.59537
Show Author Affiliations
Mark K. Hinders, Massachusetts Technological Lab., Inc. (United States)
Ta-Ming Fang, Massachusetts Technological Lab., Inc. (United States)
B. Rhodes, Harvard Medical School (United States)
J. Collins, Boston Univ. (United States)
M. McNaughton Collins, Univ. Hospital (United States)
Guido V.H. Sandri, Boston Univ. (United States)

Published in SPIE Proceedings Vol. 1660:
Biomedical Image Processing and Three-Dimensional Microscopy
Raj S. Acharya; Carol J. Cogswell; Dmitry B. Goldgof, Editor(s)

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