Evidence map›Paper›PMID 35360521›Full record

ArticlePhotoacoustics2022

Photoacoustic imaging phantoms for assessment of object detectability and boundary buildup artifacts.

Jorge Palma-Chavez, Keith A Wear, Yash Mantri, Jesse V Jokerst, William C Vogt

Abstract read
In one paragraph

Article in Photoacoustics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review of imaging test phantoms.Journal of biomedical optics · 2023
    Review
  8. Article
  9. 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

5 authors.

Jorge Palma-ChavezDepartment of NanoEngineering, University of California San Diego, La Jolla, CA 92093, USA.
Keith A WearCenter for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD 20993, USA.
Yash MantriDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Jesse V JokerstDepartment of NanoEngineering, University of California San Diego, La Jolla, CA 92093, USA.
William C VogtCenter for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD 20993, USA.

Funding

Vevo LAZR Photoacoustic Imaging SystemS10OD021821 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HALL, DAVID J · 2016 to 2016
$594k
MANTA ViewSizer 3011 Nanoparticle Characterization SystemS10OD023555 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JOKERST, JESSE VINCENT · 2018 to 2018
$137k
NIH HHS S10 OD023555
6 · The paper itself

Abstract

Standardized phantoms and test methods are needed to accelerate clinical translation of emerging photoacoustic imaging (PAI) devices. Evaluating object detectability in PAI is challenging due to variations in target morphology and artifacts including boundary buildup. Here we introduce breast fat and parenchyma tissue-mimicking materials based on emulsions of silicone oil and ethylene glycol in polyacrylamide hydrogel. 3D-printed molds were used to fabricate solid target inclusions that produced more filled-in appearance than traditional PAI phantoms. Phantoms were used to assess understudied image quality characteristics (IQCs) of three PAI systems. Object detectability was characterized vs. target diameter, absorption coefficient, and depth. Boundary buildup was quantified by target core/boundary ratio, which was higher in transducers with lower center frequency. Target diameter measurement accuracy was also size-dependent and improved with increasing transducer frequency. These phantoms enable evaluation of multiple key IQCs and may support development of comprehensive standardized test methods for PAI devices.

Indexed as

3D printingImage qualityPhantomsPolyacrylamideStandardizationTissue-mimicking material

Identifiers

PMID35360521
PMCPMC8960980

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.