Evidence map›Paper›PMID 36326709›Full record

ReviewNMR in biomedicine2023

Off-resonance artifact correction for MRI: A review.

Melissa W Haskell, Jon-Fredrik Nielsen, Douglas C Noll

Abstract readReview
In one paragraph

Review in NMR in biomedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Review
  2. Self-calibrated BMagnetic resonance in medicine · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
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  20. BMagnetic resonance in medicine · 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

3 authors.

Melissa W HaskellElectrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-7237-6731
Jon-Fredrik NielsenBiomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.
Douglas C NollBiomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.

Funding

A harmonized vendor-agnostic environment for multi-site functional MRI studiesU24NS120056 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jon-Fredrik Nielsen, Maxim Zaitsev · 2021 to 2026
$3.3M
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
Reconstruction of robust, high SNR functional brain images using machine learning and oscillatory steady state MRIF32EB029289 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HASKELL, MELISSA WEST · 2020 to 2021
$127k
NIBIB NIH HHS F32 EB029289NIBIB NIH HHS R01 EB023618NIBIB NIH HHS U01 EB026977NIH HHS F32EB029289NIH HHS R01EB023618NIH HHS U01EB026977NIH HHS U24NS120056NINDS NIH HHS U24 NS120056
6 · The paper itself

Abstract

In magnetic resonance imaging (MRI), inhomogeneity in the main magnetic field used for imaging, referred to as off-resonance, can lead to image artifacts ranging from mild to severe depending on the application. Off-resonance artifacts, such as signal loss, geometric distortions, and blurring, can compromise the clinical and scientific utility of MR images. In this review, we describe sources of off-resonance in MRI, how off-resonance affects images, and strategies to prevent and correct for off-resonance. Given recent advances and the great potential of low-field and/or portable MRI, we also highlight the advantages and challenges of imaging at low field with respect to off-resonance.

Indexed as

ArtifactsMagnetic Resonance ImagingImage Processing, Computer-AssistedMagnetic FieldsPhantoms, Imaging

Identifiers

PMID36326709
PMCPMC10284460

What OpenQuestion holds

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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.