Evidence map›Paper›PMID 38303991›Full record

ReviewJournal of biomedical optics2024

Optical ultrasound sensors for photoacoustic imaging: a review.

Liying Zhu, Hongming Cao, Jun Ma, Lidai Wang

Open access · goldAbstract readReview
In one paragraph

Review in Journal of biomedical optics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

4 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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 at 2 institutions in 2 countries.

Liying ZhuCity University of Hong Kong, Department of Biomedical Engineering, Kowloon, Hong Kong, China.ORCID 0000-0002-2037-1269
Hongming CaoCity University of Hong Kong, Department of Biomedical Engineering, Kowloon, Hong Kong, China.ORCID 0009-0003-5862-7236
Jun MaNanfang Hospital, Southern Medical University, Department of Burns, Guangzhou, China.
Lidai WangCity University of Hong Kong, Department of Biomedical Engineering, Kowloon, Hong Kong, China.
City University of Hong Kong · HKNanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Photoacoustic (PA) imaging is an emerging biomedical imaging modality that can map optical absorption contrast in biological tissues by detecting ultrasound signal. Piezoelectric transducers are commonly used in PA imaging to detect the ultrasound signals. However, piezoelectric transducers suffer from low sensitivity when the dimensions are reduced and are easily influenced by electromagnetic interference. To avoid these limitations, various optical ultrasound sensors have been developed and shown their great potential in PA imaging. Aim: Our study aims to summarize recent progress in optical ultrasound sensor technologies and their applications in PA imaging. Approach: The commonly used optical ultrasound sensing techniques and their applications in PA systems are reviewed. The technical advances of different optical ultrasound sensors are summarized. Results: Optical ultrasound sensors can provide wide bandwidth and improved sensitivity with miniatured size, which enables their applications in PA imaging. Conclusions: The optical ultrasound sensors are promising transducers in PA imaging to provide higher-resolution images and can be used in new applications with their unique advantages.

Indexed as

Photoacoustic TechniquesDiagnostic ImagingSpectrum AnalysisTransducersUltrasonographyall-optical detectionfiber sensorphotoacoustic imagingultrasound detection

Identifiers

PMID38303991
PMCPMC10831871
OpenAlexW4391448866

What OpenQuestion holds

Textmetadata
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.