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Proceedings Paper

Tissue characterization by imaging the local frequency dependent relative backscatter coefficient
Author(s): Klaus V. Jenderka; Tilio Gaertner; Ulrich Cobet; Mario Zacharias; Hans Heynemann
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Paper Abstract

Conventional B-scan systems only use the amplitude information of the backscattered signals for imaging. By imaging the local frequency dependent relative backscatter coefficient it is possible to improve the image contrast and to reduce system effects. Based on spectral analysis of rf echo signals, a procedure was developed to correct for system specific effects and to determine the relative backscatter coefficient. A new image with improved contrast results from grayscale or color coding of the frequency components of the relative backscatter coefficient. The method was applied to in vivo measurements of human prostate and transplanted kidney. For cancerous prostate tissue the relative backscatter coefficient is about 8 dB lower than for normal tissue regions. The results of the investigations on kidneys show no correlation to the current function of the organ. Certainly the different course of the frequency dependence of the relative backscatter coefficient of renal cortex and calices regions allows a contrast improvement. The method provides a system independent imaging procedure with improved image contrast for tissues with different scattering behavior and slightly reduced spatial resolution. Imaging the relative backscatter coefficient will not substitute the conventional B-mode image, but it is a useful tool providing additional information about the tissue state.

Paper Details

Date Published: 12 April 2000
PDF: 8 pages
Proc. SPIE 3982, Medical Imaging 2000: Ultrasonic Imaging and Signal Processing, (12 April 2000); doi: 10.1117/12.382236
Show Author Affiliations
Klaus V. Jenderka, Martin-Luther Univ. (Germany)
Tilio Gaertner, Martin-Luther Univ. (Germany)
Ulrich Cobet, Martin-Luther Univ. (Germany)
Mario Zacharias, Martin-Luther Univ. (Germany)
Hans Heynemann, Martin-Luther Univ. (Germany)


Published in SPIE Proceedings Vol. 3982:
Medical Imaging 2000: Ultrasonic Imaging and Signal Processing
K. Kirk Shung; Michael F. Insana, Editor(s)

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