Evidence map›Paper›PMID 30550046›Full record

ArticleJournal of biomedical optics2018

Characterization of laser ultrasound source signals in biological tissues for imaging applications.

Jonathan R Fincke, Charles M Wynn, Rob Haupt, Xiang Zhang, Diego Rivera, Brian Anthony

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Full noncontact laser ultrasound: first human data.Light, science & applications · 2019
    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.

Jonathan R FinckeMassachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, Massachusett, United States.
Charles M WynnMassachusetts Institute of Technology, Lincoln Laboratory, Lexington, Massachusetts, United States.
Rob HauptMassachusetts Institute of Technology, Lincoln Laboratory, Lexington, Massachusetts, United States.
Xiang ZhangMassachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, Massachusett, United States.
Diego RiveraMassachusetts Institute of Technology, Lincoln Laboratory, Lexington, Massachusetts, United States.
Brian AnthonyMassachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, Massachusett, United States.

Funding

ANIMAL HUSBANDRY SUPPORT SERVICES FOR NIEHS27304C0002 · NIEHS · 2007 to 2008
$5.0M
Role of Mitochondrial CYP2E1 in Chemical Exposure-Driven NeurodegenerationF32ES027306 · NIEHS · DUKE UNIVERSITY · PI HARTMAN, JESSICA HELENE · 2016 to 2018
$171k
Investigation of metabolites related to manganese exposureF31ES027304 · NIEHS · UNIVERSITY OF WASHINGTON · PI BAKER, MARISSA GAYL · 2016 to 2017
$61k
NIEHS NIH HHS 27304C0002NIEHS NIH HHS 27306C0002
6 · The paper itself

Abstract

Short optical pulses emitted from a tunable Q-switched laser (800 to 2000 nm) generate laser ultrasound (LUS) signals at the surface of biological tissue. The LUS signal's acoustic frequency content, dependence on sample type, and optical wavelength are observed in the far field. The experiments yield a reference dataset for the design of noncontact LUS imaging systems. Measurements show that the majority of LUS signal energy in biological tissues is within the 0.5 and 3 MHz frequency bands and the total acoustic energy generated increases with the optical absorption coefficient of water, which governs tissue optical absorption in the infrared range. The experimental results also link tissue surface roughness and acoustic attenuation with limited LUS signal bandwidth in biological tissue. Images constructed using 810-, 1064-, 1550-, and 2000-nm generation laser wavelengths and a contact piezoelectric receiver demonstrates the impact of the generation laser wavelength on image quality. A noncontact LUS-based medical imaging system has the potential to be an effective medical imaging device. Such a system may mitigate interoperator variability associated with current medical ultrasound imaging techniques and expand the scope of imaging applications for ultrasound.

Indexed as

Diagnostic ImagingLasersUltrasonicsUltrasonographyacoustic sourcelaser ultrasoundmedical imagingoptoacoustictunable laserultrasound

Identifiers

PMID30550046
PMCPMC6987635

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.