Ultrasound RF signal, backscattered from an inhomogeneous parenchymal tissue has the character of a random signal, which is responsible for the speckle pattern observed in the images. However, the statistical nature of the RF signal depends, not only on the random tissue scattering structure, but also on the resolution cell volume of the imaging system. Based on a stochastic model, a quantitative relationship exists between the statistics of the RF signals, statistics of the tissues scattering structure and the resolution of the imaging system. In this paper, we report, through simulation process, results confirming the theoretical predictions. In generating one dimensional A-line RF signals, the three dimensional nature of the scattering process has been taken into account. Interrogation with a frequency modulated pulse has been proposed which can be used to change the resolution cell volume. It's usefulness is demonstrated in estimating the mean scatterer spacing in the random tissue model.

Date of creation, presentation, or exhibit



Proceedings of the 16th Annual Northeast Bioengineering Conference (1990) 39-40 "Stochastic signal processing for tissue characterization with ultrasound: a simulation study," Proceedings of the 16th Annual Northeast Bioengineering Conference. Institute of Electrical and Electronics Engineers. Held in State Collge, Pennsylvania: 26-27 March 1990. ©1990 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. This work was supported in part by a grant-in-aid #881095, awarded by the American Heart Association and by a DuPont science and engineering grant.Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.

Document Type

Conference Proceeding

Department, Program, or Center

Chester F. Carlson Center for Imaging Science (COS)


RIT – Main Campus