Evidence map›Paper›PMID 30654543›Full record

ArticleSensors (Basel, Switzerland)2019

Skull's Photoacoustic Attenuation and Dispersion Modeling with Deterministic Ray-Tracing: Towards Real-Time Aberration Correction.

Leila Mohammadi, Hamid Behnam, Jahan Tavakkoli, Mohammad R N Avanaki

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Couplants in Acoustic Biosensing Systems.Chemosensors (Basel, Switzerland) · 2022
    Review
  11. Article
  12. Suppression of acoustic reflection artifact in endoscopic photoacoustic tomographic images based on approximation of ideal signals.Technology and health care : official journal of the European Society for Engineering and Medicine · 2022
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
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

4 authors.

Leila MohammadiDepartment of Biomedical Engineering, Islamic Azad University, Science and Research Branch, Tehran 1477893855, Iran. lemoelec@gmail.com.
Hamid BehnamDepartment of Biomedical Engineering, Iran University of Science and Technology, Tehran 1684613114, Iran. behnam@iust.ac.ir.ORCID 0000-0002-1698-5284
Jahan TavakkoliDepartment of Physics, Ryerson University, Toronto, ON M5B 2K3, Canada. jtavakkoli@ryerson.ca.ORCID 0000-0003-1947-4479
Mohammad R N AvanakiDepartment of Biomedical Engineering, Wayne State University, Detroit, MI 48202, USA. ft5257@wayne.edu.ORCID 0000-0002-1437-8456

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although transcranial photoacoustic imaging has been previously investigated by several groups, there are many unknowns about the distorting effects of the skull due to the impedance mismatch between the skull and underlying layers. The current computational methods based on finite-element modeling are slow, especially in the cases where fine grids are defined for a large 3-D volume. We develop a very fast modeling/simulation framework based on deterministic ray-tracing. The framework considers a multilayer model of the medium, taking into account the frequency-dependent attenuation and dispersion effects that occur in wave reflection, refraction, and mode conversion at the skull surface. The speed of the proposed framework is evaluated. We validate the accuracy of the framework using numerical phantoms and compare its results to k-Wave simulation results. Analytical validation is also performed based on the longitudinal and shear wave transmission coefficients. We then simulated, using our method, the major skull-distorting effects including amplitude attenuation, time-domain signal broadening, and time shift, and confirmed the findings by comparing them to several ex vivo experimental results. It is expected that the proposed method speeds up modeling and quantification of skull tissue and allows the development of transcranial photoacoustic brain imaging.

Indexed as

acoustic attenuationacoustic dispersionmode conversionnumerical simulationphotoacoustic imagingskull phantomtranscranial brain imaging

Identifiers

PMID30654543
PMCPMC6359310

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Registered trials

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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.