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Proceedings Paper

Ultrasonic rf-based imaging for the purposes of characterizing the microstructure of solid tumors
Author(s): Michael Oelze; James F. Zachary; William D. O'Brien
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Paper Abstract

Eight retired breeder rats were acquired that had developed spontaneous mammary tumors. Tumors were diagnosed microscopically as mammary gland fibroadenomas. Two-dimensional gray-scale B-mode images of the tumors in the rats were constructed from backscattered echoes using an 8 MHz (90% bandwidth) single element ultrasonic transducer. From the gray-scale B-mode images, regions-of-interest (ROIs) were selected in the tumors and surrounding tissues. The power spectra of backscattered RF echoes gated from the ROIs were used to estimate the average scatterer diameters and concentrations. A unique estimation scheme was used to obtain the average scatterer diameters and concentrations. The average scatterer diameter was related to the slope of the best-fit line to the reduced measured power spectrum versus the frequency squared. The scatterer concentration was determined from the intercept of the best-fit line. The reduced measured power spectrum is the measured power spectrum minus 40 log of the frequency. Parametric B-mode images were constructed by converting ROI boxes into colored pixels. The color of the pixels was related to the estimated scatterer properties. The images showed a distinct difference between the tumor and surrounding healthy tissues. Scatterer sizes inside the tumor were on average 30% larger than scatterer sizes in surrounding normal tissues.

Paper Details

Date Published: 11 April 2002
PDF: 8 pages
Proc. SPIE 4687, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing, (11 April 2002); doi: 10.1117/12.462149
Show Author Affiliations
Michael Oelze, Univ. of Illinois/Urbana-Champaign (United States)
James F. Zachary, Univ. of Illinois/Urbana-Champaign (United States)
William D. O'Brien, Univ. of Illinois/Urbana-Champaign (United States)

Published in SPIE Proceedings Vol. 4687:
Medical Imaging 2002: Ultrasonic Imaging and Signal Processing
Michael F. Insana; William F. Walker, Editor(s)

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