Evidence map›Paper›PMID 31912574›Full record

ArticleMagnetic resonance in medicine2020

Oscillating steady-state imaging (OSSI): A novel method for functional MRI.

Shouchang Guo, Douglas C Noll

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Steady-state free precession for TMagnetic resonance in medicine · 2025
    Article
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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

2 authors.

Shouchang GuoDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-0329-1638
Douglas C NollDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-0983-3805

Funding

High SNR Functional Brain Imaging using Oscillating Steady State MRIU01EB026977 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NOLL, DOUGLAS C · 2018 to 2022
$2.8M
Fast Functional MRI with Sparse Sampling and Model-Based ReconstructionR01EB023618 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FESSLER, JEFFREY A, NOLL, DOUGLAS C · 2017 to 2020
$1.5M
NIBIB NIH HHS R01 EB023618NIBIB NIH HHS U01 EB026977
6 · The paper itself

Abstract

purposeSignal-to-noise ratio (SNR) is crucial for high-resolution fMRI; however, current methods for SNR improvement are limited. A new approach, called oscillating steady-state imaging (OSSI), produces a signal that is large and

methodsQuadratic phase sequences were combined with balanced gradients to produce a large, oscillating steady-state signal. The quadratic phase progression was periodic over short intervals such as 10 TRs, inducing a frequency-dependent phase dispersal. Images over one period were combined to produce a single image with effectively

resultsPhantom and human OSSI data showed highly reproducible signal oscillations with greater signal strength than GRE. Compared to single slice GRE with matched effective TE and spatial-temporal resolution, OSSI yielded more activation in the visual cortex by a factor of 1.84 and an improvement in temporal SNR by a factor of 1.83. Voxelwise percentage change comparisons between OSSI and GRE demonstrate a similar

conclusionsOSSI is a new acquisition method that exploits a large, oscillating signal that is

Indexed as

Magnetic Resonance ImagingComputer SimulationHumansPhantoms, ImagingReproducibility of ResultsSignal-To-Noise RatioBOLD contrastfunctional MRIhigh-resolutionhigh SNROscillating steady-state imaging (OSSI)

Identifiers

PMID31912574
PMCPMC7180136

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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.