Evidence map›Paper›PMID 31322916›Full record

ArticleThe British journal of radiology2019

Signal-to-noise ratio assessment of muscle diffusion tensor imaging using single image set and validation by the difference image method.

Zhiyue J Wang, Jin Yamamura, Sarah Keller

Abstract readValidation Study
In one paragraph

Article in The British journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Zhiyue J WangDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Jin YamamuraDepartment of Radiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Sarah KellerDepartment of Radiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSignal-to-noise ratio (SNR) assessment is essential for accurate quantification of diffusion tensor imaging (DTI) metrics and usually requires the use of a difference image method using duplicate images. We aimed to estimate the SNR of DTI of thigh muscles using a single image set without duplicate images.

methodsDTI of one thigh were acquired on a 3 T scanner from 15 healthy adults, and scans with number of signal averages (NSA) = 4 and 8 were repeatedly acquired. SNR were evaluated for six thigh muscles. For SNR calculation from a single image set, diffusion-weighted images with similar diffusion encoding directions were grouped into pairs. The difference image of each pair was high-pass filtered in k-space to yield noise images. Noise images were also calculated with a difference method using two image sets as a reference. Subjects were divided into two groups for filter optimization and validation, respectively. The coefficient of repeatability (CR) of the SNR obtained from the two methods was also evaluated separately.

resultsBland

conclusionThe single image method can be used for DTI SNR assessment and offers better repeatability. ADVANCES IN KNOWLEDGE: SNR of skeletal muscle DTI can be assessed for any data set without duplicate images.

Indexed as

Signal-To-Noise RatioAdultAnisotropyDiffusion Tensor ImagingFemaleHealthy VolunteersHumansMaleMuscle, SkeletalReproducibility of ResultsThigh

Identifiers

PMID31322916
PMCPMC6774594

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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.