Evidence map›Paper›PMID 30336570›Full record

ArticleSensors (Basel, Switzerland)2018

Photoacoustic Signal Enhancement: Towards Utilization of Low Energy Laser Diodes in Real-Time Photoacoustic Imaging.

Rayyan Manwar, Matin Hosseinzadeh, Ali Hariri, Karl Kratkiewicz, Shahryar Noei, Mohammad R N Avanaki

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Rayyan ManwarDepartment of Biomedical Engineering, Wayne State University, 818 W. Hancock, Detroit, MI 48201, USA. r.manwar@wayne.edu.ORCID 0000-0002-8550-8932
Matin HosseinzadehDepartment of Electrical Engineering, Sharif University of Technology, Tehran 11365-11155, Iran. matinhz@gmail.com.
Ali HaririDepartment of Nano Engineering, University of California, San Diego, CA 92093, USA. century2010@gmail.com.
Karl KratkiewiczDepartment of Biomedical Engineering, Wayne State University, 818 W. Hancock, Detroit, MI 48201, USA. karl.kratkiewicz@wayne.edu.
Shahryar NoeiDepartment of Electrical Engineering, Sharif University of Technology, Tehran 11365-11155, Iran. Sh.noei69@gmail.com.
Mohammad R N AvanakiDepartment of Biomedical Engineering, Wayne State University, 818 W. Hancock, Detroit, MI 48201, USA. mrn.avanaki@wayne.edu.ORCID 0000-0002-1437-8456

Funding

Albert and Goldye J. Nelson grant 1C02American Cancer Society 14-238-04-IRG
6 · The paper itself

Abstract

In practice, photoacoustic (PA) waves generated with cost-effective and low-energy laser diodes, are weak and almost buried in noise. Reconstruction of an artifact-free PA image from noisy measurements requires an effective denoising technique. Averaging is widely used to increase the signal-to-noise ratio (SNR) of PA signals; however, it is time consuming and in the case of very low SNR signals, hundreds to thousands of data acquisition epochs are needed. In this study, we explored the feasibility of using an adaptive and time-efficient filtering method to improve the SNR of PA signals. Our results show that the proposed method increases the SNR of PA signals more efficiently and with much fewer acquisitions, compared to common averaging techniques. Consequently, PA imaging is conducted considerably faster.

Indexed as

low-energy laser diodesphotoacoustic imagingsignal enhancement

Identifiers

PMID30336570
PMCPMC6209994

What OpenQuestion holds

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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.