Evidence map›Paper›PMID 40942961›Full record

ArticleSensors (Basel, Switzerland)2025

A Dual-Transducer Approach for High-Resolution and High-Precision Shear Wave Elasticity Imaging.

Jingfei Liu, Stanislav Y Emelianov

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Jingfei LiuDepartment of Mechanical Engineering, Texas Tech University, Lubbock, TX 79409, USA.ORCID 0000-0001-9948-0726
Stanislav Y EmelianovSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.

Funding

Optical elastography for assessment of myocardial regenerationR01HL130804 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI LARIN, KIRILL V, MARTIN, JAMES F · 2016 to 2019
$2.9M
Functional, cellular, and molecular imaging and therapy monitoring using ultrasouR01CA158598 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI EMELIANOV, STANISLAV Y, ESTEVA, FRANCISCO J · 2012 to 2018
$2.8M
NCI NIH HHS R01 CA158598NHLBI NIH HHS R01 HL130804NIH HHS 1C06CA158598-18NIH HHS 1R01HL130804-19
6 · The paper itself

Abstract

Shear wave elasticity imaging, an ultrasound-based method for imaging tissue elasticity, has been widely accepted in both preclinical studies and clinical practices for diagnosing various diseases. Currently, shear wave elasticity imaging is primarily implemented using a single-transducer approach, in which the same ultrasound transducer is used for both generating and recording shear waves in target tissue. This technical implementation well served the need for imaging bulk tissues in various cases. However, the limited bandwidth of the ultrasound transducer is a great obstacle to extending the application of shear wave elasticity imaging to cases where higher spatial resolution and/or stronger tissue stimulation are needed. To address this challenge, we proposed a dual-transducer approach in which two ultrasound transducers perform shear wave generation and tracking, each optimized for its respective task. The feasibility of the proposed method is demonstrated and verified in a phantom study. In this pioneering work, the strength of the dual-transducer approach is shown by its performance in shear wave tracking at various frequencies. This performance is evaluated by four measures: signal-to-noise ratio, contrast-to-noise ratio, spatial resolution, and precision in quantitative measurement. The experimental results demonstrate the superior elasticity imaging capabilities of the dual-transducer approach compared to the conventional single-transducer approach, offering a reliable strategy for further development of this imaging method for specific applications.

Indexed as

Elasticity Imaging TechniquesTransducersHumansPhantoms, ImagingSignal-To-Noise Ratiocontrast-to-noise ratioprecisionshear wave elasticity imagingsignal-to-noise ratiospatial resolution

Identifiers

PMID40942961
PMCPMC12431147

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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.