Evidence map›Paper›PMID 36257133›Full record

ArticleMedical image analysis2023

Motion robust magnetic resonance imaging via efficient Fourier aggregation.

Oren Solomon, Rémi Patriat, Henry Braun, Tara E Palnitkar, Steen Moeller, Edward J Auerbach, Kamil Ugurbil, Guillermo Sapiro, Noam Harel

Abstract read
In one paragraph

Article in Medical image analysis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Motion Mitigation Techniques for Abdominal and Cardiac MR Imaging.Journal of magnetic resonance imaging : JMRI · 2026
    Review
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

9 authors.

Oren SolomonDepartment of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States of America. Electronic address: solom267@umn.edu.
Rémi PatriatDepartment of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States of America.
Henry BraunDepartment of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States of America.
Tara E PalnitkarDepartment of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States of America.
Steen MoellerDepartment of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States of America.
Edward J AuerbachDepartment of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States of America.
Kamil UgurbilDepartment of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States of America.
Guillermo SapiroDepartment of Electrical and Computer Engineering, Duke University, NC, United States of America; Department of Biomedical Engineering, Duke University, NC, United States of America; Department of Computer Science, Duke University, NC, United States of America; Department of Mathematics, Duke University, NC, United States of America.
Noam HarelDepartment of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States of America; Department of Neurosurgery, University of Minnesota, Minneapolis, MN, United States of America.

Funding

TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Gregory John Metzger, KAMIL UGURBIL · 2019 to 2026
$11.7M
Understanding Circuit Dynamics in Parkinson's Disease using Real-Time Neural ControlP50NS123109 · NINDS · UNIVERSITY OF MINNESOTA · PI AMAN, JOSHUA E · 2021 to 2025
$11.3M
Algorithms for programming deep brain stimulation systemsR01NS081118 · NINDS · UNIVERSITY OF MINNESOTA · PI HAREL, NOAM, JOHNSON, MATTHEW DOUGLAS · 2012 to 2023
$4.0M
Corticosubthalamic Plasticity in the Parkinsonian StateR01NS113746 · NINDS · EMORY UNIVERSITY · PI HAREL, NOAM, MACKINNON, COLUM D · 2019 to 2023
$3.5M
7 Tesla Terra InstrumentS10OD025256 · OD · UNIVERSITY OF MINNESOTA · PI HAREL, NOAM · 2018 to 2018
$2.0M
NIBIB NIH HHS P41 EB027061NIH HHS S10 OD025256NINDS NIH HHS P50 NS123109NINDS NIH HHS R01 NS081118NINDS NIH HHS R01 NS113746
6 · The paper itself

Abstract

We present a method for suppressing motion artifacts in anatomical magnetic resonance acquisitions. Our proposed technique, termed MOTOR-MRI, can recover and salvage images which are otherwise heavily corrupted by motion induced artifacts and blur which renders them unusable. Contrary to other techniques, MOTOR-MRI operates on the reconstructed images and not on k-space data. It relies on breaking the standard acquisition protocol into several shorter ones (while maintaining the same total acquisition time) and subsequent efficient aggregation in Fourier space of locally sharp and consistent information among them, producing a sharp and motion mitigated image. We demonstrate the efficacy of the technique on T

Indexed as

Magnetic Resonance ImagingHumansFourier aggregationImage deblurringMagnetic resonance imagingMotion artifactsRobust imaging

Identifiers

PMID36257133
PMCPMC10291887

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Registered trials

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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.