Evidence map›Paper›PMID 34306522›Full record

ArticleIEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium2020

Ultrasound Signal Detection with Multi-bounce Laser Microphone.

Qianqian Wan, ChenChia Wang, Keshuai Xu, Jeeun Kang, Yixuan Wu, Sudhir B Trivedi, Peter Gehlbach, Emad Boctor

Abstract read
In one paragraph

Article in IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Qianqian WanDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, United States.
ChenChia WangBrimrose Corporation of America, Baltimore, United States.
Keshuai XuDepartment of Computer Science, Johns Hopkins University, Baltimore, United States.
Jeeun KangDepartment of Computer Science, Johns Hopkins University, Baltimore, United States.
Yixuan WuDepartment of Computer Science, Johns Hopkins University, Baltimore, United States.
Sudhir B TrivediBrimrose Corporation of America, Baltimore, United States.
Peter GehlbachDepartment of Ophthalmology, Johns Hopkins School of Medicine, Baltimore, United States.
Emad BoctorDepartment of Radiology, Johns Hopkins School of Medicine, Baltimore, United States.

Funding

New Photo-Acoustic Imaging Process in Fetal Monitoring to Dramatically Reduce Brain Injuries in NewbornsR43HD102260 · NICHD · BRIMROSE TECHNOLOGY CORPORATION · PI WANG, CHENCHIA · 2020 to 2020
$150k
NICHD NIH HHS R43 HD102260
6 · The paper itself

Abstract

The multi-bounce laser microphone utilizes optical methods to detect the displacement of a gold-covered thin film diaphragm caused by ultrasound signal pressure waves. This sensitive all-optical sensing technique provides new opportunities for advanced ultrasound imaging as it is expected to achieve a higher detection signal-to-noise ratio (SNR) in a broader spectrum, as compared to conventional ultrasonic transducers. The technique does not involve signal time-averaging and the real-time enhancement in detection SNR stems from the amplification of signal strength due to multiple bouncing off the diaphragm. The system was previously developed for detecting acoustic signatures generated by explosives and were limited to lower than 10 kHz in frequency. To demonstrate its feasibility for biomedical imaging applications, preliminary experiments were conducted to show high fidelity detection of ultrasound waves with frequencies ranging from 100 kHz to in excess of 1 MHz. Experimental results are also presented in this work demonstrating the improved detection sensitivity of the multi-bounce laser microphone in detecting ultrasound signals when compared with a commercial Fabry-Perot type optical hydrophone. Furthermore, we also applied the multi-bounce laser microphone to detect photoacoustic signatures emitted by India ink when a LED bar is used as the excitation source without signal averaging.

Indexed as

all-optical sensinglaserlaser microphonephotoacoustic imagingsignal-to-noise ratioultrasound signal detection

Identifiers

PMID34306522
PMCPMC8305828

What OpenQuestion holds

Textmetadata
LicenceTDM
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.