Evidence map›Paper›PMID 28205347›Full record

ArticleJournal of magnetic resonance imaging : JMRI2017

Robust universal nonrigid motion correction framework for first-pass cardiac MR perfusion imaging.

Mitchel Benovoy, Matthew Jacobs, Farida Cheriet, Nagib Dahdah, Andrew E Arai, Li-Yueh Hsu

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Society for cardiovascular magnetic resonance expert consensus statement on quantitative myocardial perfusion cardiovascular magnetic resonance imaging.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    Guideline
  2. Article
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  4. Myocardial blood flow quantification in patients with an implanted cardiodefibrillator during stress and at rest using a wideband perfusion pulse sequence: an initial feasibility study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    Article
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  8. Inter-scanner comparability of Z-scores for native myocardial T1 and T2 mapping.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
    Article
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  13. A theoretical framework for retrospectiveMagnetic resonance in medicine · 2021
    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

6 authors.

Mitchel BenovoyNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Matthew JacobsNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Farida CherietDepartment of Biomedical Engineering, Polytechnique Montreal, Montreal, Canada.
Nagib DahdahSainte-Justine University Hospital Research Center, Montreal, Canada.
Andrew E AraiNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.
Li-Yueh HsuNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA.

Funding

Technical Development of Diagnostic Cardiovascular MRIZIAHL004607 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ARAI, ANDREW · 2009 to 2020
$25.3M
Quantification of Myocardial PerfusionZIAHL006137 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ARAI, ANDREW · 2011 to 2020
$9.4M
Intramural NIH HHS Z99 HL999999Intramural NIH HHS ZIA HL006137
6 · The paper itself

Abstract

purposeTo present and assess an automatic nonrigid image registration framework that compensates motion in cardiac magnetic resonance imaging (MRI) perfusion series and auxiliary images acquired under a wide range of conditions to facilitate myocardial perfusion quantification. MATERIALS AND

methodsOur framework combines discrete feature matching for large displacement estimation with a dense variational optical flow formulation in a multithreaded architecture. This framework was evaluated on 291 clinical subjects to register 1.5T and 3.0T steady-state free-precession (FISP) and fast low-angle shot (FLASH) dynamic contrast myocardial perfusion images, arterial input function (AIF) images, and proton density (PD)-weighted images acquired under breath-hold (BH) and free-breath (FB) settings.

resultsOur method significantly improved frame-to-frame appearance consistency compared to raw series, expressed in correlation coefficient (R

conclusionThe critical step of motion correction prior to pixel-wise cardiac MR perfusion quantification can be performed with the proposed universal system. It is applicable to a wide range of perfusion series and auxiliary images with different acquisition settings. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2017;46:1060-1072.

Indexed as

Breath HoldingArtifactsContrast MediaHeartHumansImage EnhancementImage Processing, Computer-AssistedMagnetic Resonance ImagingMotionMyocardial Perfusion ImagingRespirationContrast Mediacardiac magnetic resonancecontrast enhancementmotion correctionmyocardial perfusionnonrigid image registrationquantitative perfusion

Identifiers

PMID28205347
PMCPMC5557713

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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.