Evidence map›Paper›PMID 37420762›Full record

ArticleSensors (Basel, Switzerland)2023

Excluding Echo Shift Noise in Real-Time Pulse-Echo Speed-of-Sound Imaging.

Parisa Salemi Yolgunlu, Naiara Korta Martiartu, Urs Richard Gerber, Martin Frenz, Michael Jaeger

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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

5 authors.

Parisa Salemi YolgunluInstitute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012 Bern, Switzerland.ORCID 0000-0002-7355-2397
Naiara Korta MartiartuInstitute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012 Bern, Switzerland.ORCID 0000-0002-7970-7900
Urs Richard GerberInstitute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012 Bern, Switzerland.
Martin FrenzInstitute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012 Bern, Switzerland.ORCID 0000-0002-6741-9434
Michael JaegerInstitute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012 Bern, Switzerland.ORCID 0000-0002-7695-9942

Funding

Swiss National Science Foundation 205320-179038
6 · The paper itself

Abstract

Computed ultrasound tomography in echo mode (CUTE) allows real-time imaging of the tissue speed of sound (SoS) using handheld ultrasound. The SoS is retrieved by inverting a forward model that relates the spatial distribution of the tissue SoS to echo shift maps detected between varying transmit and receive angles. Despite promising results, in vivo SoS maps often show artifacts due to elevated noise in echo shift maps. To minimize artifacts, we propose a technique where an individual SoS map is reconstructed for each echo shift map separately, as opposed to a single SoS map from all echo shift maps simultaneously. The final SoS map is then obtained as a weighted average over all SoS maps. Due to the partial redundancy between different angle combinations, artifacts that appear only in a subset of the individual maps can be excluded via the averaging weights. We investigate this real-time capable technique in simulations using two numerical phantoms, one with a circular inclusion and one with two layers. Our results demonstrate that the SoS maps reconstructed using the proposed technique are equivalent to the ones using simultaneous reconstruction when considering uncorrupted data but show significantly reduced artifact level for data that are corrupted by noise.

Indexed as

SoundTomography, X-Ray ComputedArtifactsPhantoms, ImagingTomographyUltrasonographyecho shiftinverse problemphase noisepulse-echo ultrasoundspeed of sound

Identifiers

PMID37420762
PMCPMC10304632

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.