Evidence map›Paper›PMID 34743446›Full record

ArticleJournal of biomedical optics2021

SVD-based filtering to detect intraplaque hemorrhage using single wavelength photoacoustic imaging.

Roy van Hees, Jan-Willem Muller, Frans van de Vosse, Marcel Rutten, Marc van Sambeek, Min Wu, Richard Lopata

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Article in Journal of biomedical optics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

7 authors.

Roy van HeesEindhoven University of Technology, Photoacoustics and Ultrasound Laboratory Eindhoven (PULS/e), Dep, The Netherlands.
Jan-Willem MullerEindhoven University of Technology, Photoacoustics and Ultrasound Laboratory Eindhoven (PULS/e), Dep, The Netherlands.
Frans van de VosseEindhoven University of Technology, Photoacoustics and Ultrasound Laboratory Eindhoven (PULS/e), Dep, The Netherlands.
Marcel RuttenEindhoven University of Technology, Photoacoustics and Ultrasound Laboratory Eindhoven (PULS/e), Dep, The Netherlands.
Marc van SambeekEindhoven University of Technology, Photoacoustics and Ultrasound Laboratory Eindhoven (PULS/e), Dep, The Netherlands.
Min WuEindhoven University of Technology, Photoacoustics and Ultrasound Laboratory Eindhoven (PULS/e), Dep, The Netherlands.
Richard LopataEindhoven University of Technology, Photoacoustics and Ultrasound Laboratory Eindhoven (PULS/e), Dep, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

significanceIntraplaque hemorrhage (IPH) is an important indicator of plaque vulnerability. Early detection could aid the prevention of stroke.

aimWe aim to detect IPH with single wavelength PA imaging in vivo and to improve image quality. APPROACH: We developed a singular value decomposition (SVD)-based filter to detect the nonstationary and stationary components in ultrasound data. A PA mask was created to detect stationary (IPH) sources. The method was tested ex vivo using phantoms and in vivo in patients.

resultsThe flow and IPH channels were successfully separated in the phantom data. We can also detect the PA signals from IPH and reject signals from the carotid lumen in vivo. Generalized contrast-to-noise ratio improved in both ex vivo and in vivo in US imaging.

conclusionsSVD-based filtering can successfully detect IPH using a single laser wavelength, opening up opportunities for more economical and cost-effective laser sources.

Indexed as

Photoacoustic TechniquesPlaque, AtheroscleroticCarotid ArteriesHemorrhageHumansMagnetic Resonance Imagingintraplaque hemorrhagephotoacoustic imagingsingle wavelengthsingular value decomposition

Identifiers

PMID34743446
PMCPMC8571807

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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.