Evidence map›Paper›PMID 38497455›Full record

ArticleUltrasonic imaging2024

Human Observer Sensitivity to Temporal Noise During B-Mode Ultrasound Scanning: Characterization and Imaging Implications.

Matthew T Huber, Katelyn M Flint, Patricia J McNally, Sarah C Ellestad, Gregg E Trahey

Open access · greenAbstract read
In one paragraph

Article in Ultrasonic imaging, 2024. 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
2.0field-weighted citation impact, top 14% of its field
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, 5 citations in OpenAlex.

  1. In Vivo Demonstration of a Real-Time Temporal SNR Acoustic Output Adjustment Method.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    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 at 2 institutions in 1 country.

Matthew T HuberDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.ORCID 0000-0002-0324-8840
Katelyn M FlintDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Patricia J McNallyDepartment of Women's and Children's Services, Duke University Hospital, Durham, NC, USA.
Sarah C EllestadDivision of Maternal-Fetal Medicine, Duke University School of Medicine, Durham, NC, USA.
Gregg E TraheyDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Duke University · USDuke Children's Hospital & Health Center · US

Funding

Coherence-Based Fetal Ultrasonic ImagingR01EB017711 · NIBIB · DUKE UNIVERSITY · PI TRAHEY, GREGG E. · 2014 to 2025
$4.7M
A Patient-Adaptive, High MI Abdominal ScannerR01EB026574 · NIBIB · DUKE UNIVERSITY · PI TRAHEY, GREGG E. · 2018 to 2021
$2.3M
NIBIB NIH HHS R01 EB017711NIBIB NIH HHS R01 EB026574
6 · The paper itself

Abstract

This work measures temporal signal-to-noise ratio (SNR) thresholds that indicate when random noise during ultrasound scanning becomes imperceptible to expert human observers. Visible noise compromises image quality and can potentially lead to non-diagnostic scans. Noise can arise from both stable acoustic sources (clutter) or randomly varying electronic sources (temporal noise). Extensive engineering effort has focused on decreasing noise in both of these categories. In this work, an observer study with five practicing sonographers was performed to assess sonographer sensitivity to temporal noise in ultrasound cine clips. Understanding the conditions where temporal noise is no longer visible during ultrasound imaging can inform engineering efforts seeking to minimize the impact this noise has on image quality. The sonographers were presented with paired temporal noise-free and noise-added simulated speckle cine clips and asked to select the noise-added clips. The degree of motion in the imaging target was found to have a significant effect on the SNR levels where noise was perceived, while changing imaging frequency had little impact. At realistic in vivo motion levels, temporal noise was not perceived in cine clips at and above 28 dB SNR. In a case study presented here, the potential of adaptive intensity adjustment based on this noise perception threshold is validated in a fetal imaging scenario. This study demonstrates how noise perception thresholds can be applied to help design or tune ultrasound systems for different imaging tasks and noise conditions.

Indexed as

Signal-To-Noise RatioUltrasonographyFemaleHumansObserver Variationacoustic exposureadaptive imagingfetal ultrasoundimage qualitynoise sensitivitytemporal SNR

Identifiers

PMID38497455
PMCPMC11619465
OpenAlexW4392919641

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.