The issue of speckle statistics from ultrasound images of soft tissues such as the liver has a long and rich history. A number of theoretical distributions, some related to random scatterers or fades in optics and radar, have been formulated for pulse-echo interference patterns. This work proposes an alternative framework in which the dominant echoes are presumed to result from Born scattering from fluid-filled vessels that permeate the tissue parenchyma. These are modeled as a branching, fractal, self-similar, multiscale collection of cylindrical scatterers governed by a power law distribution relating to the number of branches at each radius. A deterministic accounting of the echo envelopes across the scales from small to large is undertaken, leading to a closed form theoretical formula for the histogram of the envelope of the echoes. The normalized histogram is found to be related to the classical Burr distribution, with the key power law parameter directly related to that of the number density of vessels vs diameter, frequently reported in the range of 2 to 4. Examples are given from liver scans to demonstrate the applicability of the theory.
Skip Nav Destination
Article navigation
November 2019
November 13 2019
The first order statistics of backscatter from the fractal branching vasculature
Kevin J. Parker
Kevin J. Parker
a)
Department of Electrical and Computer Engineering, University of Rochester
, Rochester, New York 14627, USA
Search for other works by this author on:
a)
Electronic mail: [email protected]
J. Acoust. Soc. Am. 146, 3318–3326 (2019)
Article history
Received:
May 30 2019
Accepted:
October 14 2019
Citation
Kevin J. Parker; The first order statistics of backscatter from the fractal branching vasculature. J. Acoust. Soc. Am. 1 November 2019; 146 (5): 3318–3326. https://doi.org/10.1121/1.5132934
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
All we know about anechoic chambers
Michael Vorländer
Day-to-day loudness assessments of indoor soundscapes: Exploring the impact of loudness indicators, person, and situation
Siegbert Versümer, Jochen Steffens, et al.
A survey of sound source localization with deep learning methods
Pierre-Amaury Grumiaux, Srđan Kitić, et al.
Related Content
New views of tissue scattering
J. Acoust. Soc. Am. (October 2020)
Vasculature-on-a-chip technologies as platforms for advanced studies of bacterial infections
Biomicrofluidics (March 2024)
Spatiotemporal decomposition methods for nanobubble contrast-enhanced ultrasound
J Acoust Soc Am (April 2022)
Characterization of an Isolated Kidney’s Vasculature for Use in Bio‐Thermal Modeling
AIP Conference Proceedings (May 2007)
Quantitative imaging of tumor blood flow with contrast ultrasound
J Acoust Soc Am (November 2006)