Evidence map›Paper›PMID 28617993›Full record

ArticleMagnetic resonance in medicine2018

Rigid-body motion correction of the liver in image reconstruction for golden-angle stack-of-stars DCE MRI.

Adam Johansson, James Balter, Yue Cao

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  7. Bulk motion-compensated DCE-MRI for functional imaging of kidneys in newborns.Journal of magnetic resonance imaging : JMRI · 2020
    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

3 authors.

Adam JohanssonDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-9849-2143
James BalterDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.
Yue CaoDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA.

Funding

TREATMENT VERIFICATION AND TREATMENT PLAN REFINEMENTP01CA059827 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KESSLER, MARC LEWIS, LAWRENCE, THEODORE S · 1993 to 2018
$37.9M
Predicting Liver Function After IrradiationR01CA132834 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CAO, YUE · 2010 to 2015
$1.7M
NCI NIH HHS P01 CA059827NCI NIH HHS R01 CA132834
6 · The paper itself

Abstract

purposeRespiratory motion can affect pharmacokinetic perfusion parameters quantified from liver dynamic contrast-enhanced MRI. Image registration can be used to align dynamic images after reconstruction. However, intra-image motion blur remains after alignment and can alter the shape of contrast-agent uptake curves. We introduce a method to correct for inter- and intra-image motion during image reconstruction.

methodsSixteen liver dynamic contrast-enhanced MRI examinations of nine subjects were performed using a golden-angle stack-of-stars sequence. For each examination, an image time series with high temporal resolution but severe streak artifacts was reconstructed. Images were aligned using region-limited rigid image registration within a region of interest covering the liver. The transformations resulting from alignment were used to correct raw data for motion by modulating and rotating acquired lines in k-space. The corrected data were then reconstructed using view sharing.

resultsPortal-venous input functions extracted from motion-corrected images had significantly greater peak signal enhancements (mean increase: 16%, t-test, P <  0.001) than those from images aligned using image registration after reconstruction. In addition, portal-venous perfusion maps estimated from motion-corrected images showed fewer artifacts close to the edge of the liver.

conclusionsMotion-corrected image reconstruction restores uptake curves distorted by motion. Motion correction also reduces motion artifacts in estimated perfusion parameter maps. Magn Reson Med 79:1345-1353, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Indexed as

AlgorithmsArtifactsContrast MediaHumansImage Processing, Computer-AssistedLiverMagnetic Resonance ImagingMovementContrast Mediacontrast agentDCE-MRIlivermotion correctionperfusion

Identifiers

PMID28617993
PMCPMC5747555

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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.