Evidence map›Paper›PMID 30075660›Full record

ArticleThe Journal of the Acoustical Society of America2018

Local speed of sound estimation in tissue using pulse-echo ultrasound: Model-based approach.

Marko Jakovljevic, Scott Hsieh, Rehman Ali, Gustavo Chau Loo Kung, Dongwoon Hyun, Jeremy J Dahl

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
7.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 101 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. UltraFlex: Iterative Model-Based Ultrasonic Flexible-Array Shape Calibration.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2025
    Article
  5. Article
  6. Spatial Ambiguity Correction in Coherence-Based Average Sound Speed Estimation.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Speed of sound index for liver steatosis estimation: a reliability study in normal subjects.Diagnostic and interventional radiology (Ankara, Turkey) · 2022
    Article
  18. Distributed Aberration Correction Techniques Based on Tomographic Sound Speed Estimates.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2022
    Article
  19. Local Sound Speed Estimation for Pulse-Echo Ultrasound in Layered Media.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2022
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Marko JakovljevicDepartment of Radiology, Stanford School of Medicine, Stanford, California 94305, USA.
Scott HsiehDepartment of Radiology, University of California Los Angeles, Los Angeles, California 90095, USA.
Rehman AliDepartment of Radiology, Stanford School of Medicine, Stanford, California 94305, USA.
Gustavo Chau Loo KungDepartment of Engineering, Pontificia Universidad Catolica del Peru, Lima, Peru.
Dongwoon HyunDepartment of Radiology, Stanford School of Medicine, Stanford, California 94305, USA.
Jeremy J DahlDepartment of Radiology, Stanford School of Medicine, Stanford, California 94305, USA.
Stanford Medicine · USPontifical Catholic University of Peru · PEUniversity of California, Los Angeles · US

Funding

Improved Image Quality of Focal Liver Lesions Using the Coherence of UltrasoundR01EB015506 · NIBIB · STANFORD UNIVERSITY · PI DAHL, JEREMY · 2013 to 2016
$1.3M
NIBIB NIH HHS R01 EB015506
6 · The paper itself

Abstract

A model and method to accurately estimate the local speed of sound in tissue from pulse-echo ultrasound data is presented. The model relates the local speeds of sound along a wave propagation path to the average speed of sound over the path, and allows one to avoid bias in the sound-speed estimates that can result from overlying layers of subcutaneous fat and muscle tissue. Herein, the average speed of sound using the approach by Anderson and Trahey is measured, and then the authors solve the proposed model for the local sound-speed via gradient descent. The sound-speed estimator was tested in a series of simulation and ex vivo phantom experiments using two-layer media as a simple model of abdominal tissue. The bias of the local sound-speed estimates from the bottom layers is less than 6.2 m/s, while the bias of the matched Anderson's estimates is as high as 66 m/s. The local speed-of-sound estimates have higher standard deviation than the Anderson's estimates. When the mean local estimate is computed over a 5-by-5 mm region of interest, its standard deviation is reduced to less than 7 m/s.

Indexed as

Computer SimulationImage Interpretation, Computer-AssistedSoundUltrasonographyAlgorithmsHumansPhantoms, ImagingUltrasonic Waves

Identifiers

PMID30075660
PMCPMC6045494
OpenAlexW2883033975

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.