Evidence map›Paper›PMID 25375755›Full record

ArticleSensors (Basel, Switzerland)2014

Dual-frequency piezoelectric transducers for contrast enhanced ultrasound imaging.

K Heath Martin, Brooks D Lindsey, Jianguo Ma, Mike Lee, Sibo Li, F Stuart Foster, Xiaoning Jiang, Paul A Dayton

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Design and Fabrication of 1-D CMUT Arrays for Dual-Mode Dual-Frequency Acoustic Angiography Applications.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Article
  3. Article
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  8. Review
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  13. Review
  14. Review
  15. A Dual-Frequency Colinear Array for Acoustic Angiography in Prostate Cancer Evaluation.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2018
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Dual-Frequency Piezoelectric Endoscopic Transducer for Imaging Vascular Invasion in Pancreatic Cancer.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2017
    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

8 authors.

K Heath MartinJoint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University at Raleigh, Chapel Hill, NC 27599, USA. khmartin@ncsu.edu.
Brooks D LindseyJoint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University at Raleigh, Chapel Hill, NC 27599, USA. brooks.lindsey@unc.edu.
Jianguo MaDepartment of Mechanical & Aero-Space Engineering, North Carolina State University, Raleigh, NC 27695, USA. jma9@ncsu.edu.
Mike LeeSunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada. hlee@sri.utoronto.ca.
Sibo LiDepartment of Mechanical & Aero-Space Engineering, North Carolina State University, Raleigh, NC 27695, USA. sli26@ncsu.edu.
F Stuart FosterSunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada. stuart@sri.utoronto.ca.
Xiaoning JiangDepartment of Mechanical & Aero-Space Engineering, North Carolina State University, Raleigh, NC 27695, USA. xjiang5@ncsu.edu.
Paul A DaytonJoint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University at Raleigh, Chapel Hill, NC 27599, USA. padayton@email.unc.edu.

Funding

Micro-tumor detection by quantifying tumor-induced vascular abnormalities (PQ-13)R01CA170665 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAYTON, PAUL A · 2012 to 2015
$2.2M
Dual-frequency intravascular arrays for functional imaging of atherosclerosisR01EB015508 · NIBIB · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI JIANG, XIAONING · 2012 to 2015
$2.0M
Immune-Shielded, Ultrasound-Stimulated Contrast Agents for Molecular ImagingR01EB009066 · NIBIB · UNIVERSITY OF COLORADO · PI BORDEN, MARK ANDREW, DAYTON, PAUL A · 2008 to 2011
$1.2M
NCI NIH HHS R01 CA170665NIBIB NIH HHS R01 EB009066NIBIB NIH HHS R01 EB015508
6 · The paper itself

Abstract

For many years, ultrasound has provided clinicians with an affordable and effective imaging tool for applications ranging from cardiology to obstetrics. Development of microbubble contrast agents over the past several decades has enabled ultrasound to distinguish between blood flow and surrounding tissue. Current clinical practices using microbubble contrast agents rely heavily on user training to evaluate degree of localized perfusion. Advances in separating the signals produced from contrast agents versus surrounding tissue backscatter provide unique opportunities for specialized sensors designed to image microbubbles with higher signal to noise and resolution than previously possible. In this review article, we describe the background principles and recent developments of ultrasound transducer technology for receiving signals produced by contrast agents while rejecting signals arising from soft tissue. This approach relies on transmitting at a low-frequency and receiving microbubble harmonic signals at frequencies many times higher than the transmitted frequency. Design and fabrication of dual-frequency transducers and the extension of recent developments in transducer technology for dual-frequency harmonic imaging are discussed.

Indexed as

TransducersAircraftContrast MediaEquipment DesignEquipment Failure AnalysisImage EnhancementMaterials TestingMicro-Electrical-Mechanical SystemsMiniaturizationRadio WavesReproducibility of ResultsSensitivity and SpecificityUltrasonographyContrast Media

Identifiers

PMID25375755
PMCPMC4279513

What OpenQuestion holds

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LicenceCC BY
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.