Evidence map›Paper›PMID 41645028›Full record

ArticleMagnetic resonance in medicine2026

MoCo + ROVir: Synergy Between Respiratory Motion Compensation and Cardiac Receive Region Focusing for Cardiac MRI.

Zheyuan Hu, Hsu-Lei Lee, Tianle Cao, Takegawa Yoshida, Lingceng Ma, J Paul Finn, Kim-Lien Nguyen, Anthony G Christodoulou

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. 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

8 authors.

Zheyuan HuDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.ORCID 0000-0002-0276-8254
Hsu-Lei LeeBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Tianle CaoDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.ORCID 0000-0003-3739-3103
Takegawa YoshidaDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
Lingceng MaDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.ORCID 0009-0008-5620-5597
J Paul FinnDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
Kim-Lien NguyenDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.ORCID 0000-0002-8854-2976
Anthony G ChristodoulouDepartment of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.ORCID 0000-0002-9334-8684

Funding

Expanding on a new paradigm for MRI in pediatric congenital heart diseaseR01HL127153 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHRISTODOULOU, ANTHONY G, FINN, JOHN PAUL · 2015 to 2024
$6.1M
NIH HHS R01HL127153
6 · The paper itself

Abstract

purposeTo improve cardiac motion representation and reduce artifacts for cardiac- and respiratory-resolved imaging through a synergistic combination of retrospective cardiac phased array RF focusing and rigid respiratory motion compensation (MoCo).

methodsWe incorporated cardiac receive focusing using region-optimized virtual coils (ROVir) and MoCo into cardiac- and respiratory-resolved low-rank tensor (LRT) reconstruction, hypothesizing that the combination of MoCo + ROVir would prioritize the LRT representation of cardiac motion over respiratory motion. We compared LRT, MoCo-LRT, ROVir-LRT, and the proposed MoCo + ROVir-LRT reconstructions of retrospective data from N = 24 pediatric patients with congenital heart disease (CHD) scanned at 3.0 T using ROCK-MUSIC. Technical evaluation metrics included the proportion of cardiac-to-respiratory motion energy in self-gating lines, cardiac motion priority in the temporal basis, flickering energy, and edge sharpness in end-expiratory cardiac cine. Reconstructed cardiac cines were scored by two expert image readers.

resultsMoCo + ROVir significantly increased the proportion of cardiac-to-respiratory motion energy in self-gating lines (p < 0.001) and prioritized cardiac motion in the temporal basis (p < 0.001). MoCo + ROVir reduced flickering energy in cardiac cine images (p < 0.001), sharpened the liver-lung interface (p < 0.001), and improved flickering-specific scores (p = 0.001). Myocardium-blood pool interface sharpness (p = 0.831), cardiac-specific image scores (p = 0.188), and vascular-specific scores (p = 0.901) were not significantly different. Together, these two techniques allowed 3.7-5.2× faster reconstruction times versus LRT-only.

conclusionThe synergy of MoCo + ROVir successfully prioritized cardiac motion, suppressed respiratory motion, and reduced flickering artifacts, with an added benefit of accelerating reconstruction times. The improved respiratory motion handling may provide an avenue for free-breathing cardiac scans in pediatric patients with CHD.

Indexed as

HeartHeart Defects, CongenitalImage Processing, Computer-AssistedMagnetic Resonance ImagingMagnetic Resonance Imaging, CineAlgorithmsArtifactsChildChild, PreschoolFemaleHumansImage Interpretation, Computer-AssistedInfantMaleMotionMovementcardiac MRIcongenital heart diseaselow‐rank tensormultichannel MRIpediatric MRIsignal suppression

Identifiers

PMID41645028
PMCPMC13049274

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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.