Evidence map›Paper›PMID 38870171›Full record

ArticlePloS one2024

Similarity-driven motion-resolved reconstruction for ferumoxytol-enhanced whole-heart MRI in congenital heart disease.

Ludovica Romanin, Bastien Milani, Christopher W Roy, Jérôme Yerly, Aurélien Bustin, Salim Si-Mohamed, Milan Prsa, Tobias Rutz, Estelle Tenisch, Juerg Schwitter and 2 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Ludovica RomaninDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID 0000-0001-5031-3302
Bastien MilaniDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Christopher W RoyDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Jérôme YerlyDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Aurélien BustinDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-2845-8617
Salim Si-MohamedDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Milan PrsaDivision of Pediatric Cardiology, Woman-Mother-Child Department, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-9483-7957
Tobias RutzDivision of Cardiology, Cardiovascular Department, Lausanne University Hospital, Lausanne, Switzerland.ORCID 0000-0001-5899-291X
Estelle TenischDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID 0000-0003-0994-3964
Juerg SchwitterDivision of Cardiology, Cardiovascular Department, Lausanne University Hospital, Lausanne, Switzerland.
Matthias StuberDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Davide PicciniDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A similarity-driven multi-dimensional binning algorithm (SIMBA) reconstruction of free-running cardiac magnetic resonance imaging data was previously proposed. While very efficient and fast, the original SIMBA focused only on the reconstruction of a single motion-consistent cluster, discarding the remaining data acquired. However, the redundant data clustered by similarity may be exploited to further improve image quality. In this work, we propose a novel compressed sensing (CS) reconstruction that performs an effective regularization over the clustering dimension, thanks to the integration of inter-cluster motion compensation (XD-MC-SIMBA). This reconstruction was applied to free-running ferumoxytol-enhanced datasets from 24 patients with congenital heart disease, and compared to the original SIMBA, the same XD-MC-SIMBA reconstruction but without motion compensation (XD-SIMBA), and a 5D motion-resolved CS reconstruction using the free-running framework (FRF). The resulting images were compared in terms of lung-liver and blood-myocardium sharpness, blood-myocardium contrast ratio, and visible length and sharpness of the coronary arteries. Moreover, an automated image quality score (IQS) was assigned using a pretrained deep neural network. The lung-liver sharpness and blood-myocardium sharpness were significantly higher in XD-MC-SIMBA and FRF. Consistent with these findings, the IQS analysis revealed that image quality for XD-MC-SIMBA was improved in 18 of 24 cases, compared to SIMBA. We successfully tested the hypothesis that multiple motion-consistent SIMBA clusters can be exploited to improve the quality of ferumoxytol-enhanced cardiac MRI when inter-cluster motion-compensation is integrated as part of a CS reconstruction.

Indexed as

AlgorithmsFerrosoferric OxideHeart Defects, CongenitalMagnetic Resonance ImagingAdolescentAdultChildContrast MediaFemaleHeartHumansImage Processing, Computer-AssistedMaleMotionYoung AdultContrast MediaFerrosoferric Oxide

Identifiers

PMID38870171
PMCPMC11175540

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.