Characterizing random complex biological media by quantifying ultrasound multiple scattering

These results suggest that such parameters could be used as metrics to estimate the amount of multiple scattering in highly heterogeneous media, and that these parameters could contribute to the evaluation of structural changes in lung microstructure.

Authors

Institutions

Publication Details

Journal
Frontiers in Acoustics
Published
2025-04-09
DOI
https://doi.org/10.3389/facou.2025.1545057
Citations
1
Primary Topic
Microwave Imaging and Scattering Analysis
Type
article
Field-Weighted Citation Impact
0.67

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterizing random complex biological media by quantifying ultrasound multiple scattering

Yong Zhu, Marie Müller, Shanshan Yao, Thomas M. Egan et al.
1 citations
Frontiers in Acoustics
Microwave Imaging and Scattering Analysis
0.67
article

Characterizing random complex biological media by quantifying ultrasound multiple scattering

Yong Zhu, Marie Müller, Shanshan Yao, Thomas M. Egan, Omid Yousefian, Mir H. Ali, Stephanie A. Montgomery, Yasamin Karbalaeisadegh, Azadeh Dashti, Haley Geithner, John Blackwell
article en
1 citations

Abstract

These results suggest that such parameters could be used as metrics to estimate the amount of multiple scattering in highly heterogeneous media, and that these parameters could contribute to the evaluation of structural changes in lung microstructure.

Frontiers in AcousticsVol. 3
University of North Carolina at Chapel Hill (US), North Carolina State University (US)
U.S. Department of Defense, North Carolina State University, National Cancer Institute, Congressionally Directed Medical Research Programs
Openalex Percentile: Top 33%
Microwave Imaging and Scattering Analysis
0.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.