Evidence map›Paper›PMID 41802980›Full record

ArticleMagnetic resonance in medicine2026

Enhanced 2D Spiral Cine DENSE MRI Using Low-Rank Denoising for Improved Apparent Signal-to-Noise Ratio, Spatial Resolution, Efficiency, Accuracy, and Accessibility.

Shu-Fu Shih, Yuxiao Wu, Siyue Li, Zhengyang Ming, Arutyun Pogosyan, Fei Han, Holden H Wu, J Paul Finn, Kim-Lien Nguyen, Xiaodong Zhong

Abstract read
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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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Shu-Fu ShihDepartment of Radiological Sciences, University of California, Los Angeles, Los Angeles, California, USA.ORCID 0000-0002-3812-9091
Yuxiao WuDepartment of Radiological Sciences, University of California, Los Angeles, Los Angeles, California, USA.
Siyue LiDepartment of Radiological Sciences, University of California, Los Angeles, Los Angeles, California, USA.
Zhengyang MingDepartment of Radiological Sciences, University of California, Los Angeles, Los Angeles, California, USA.
Arutyun PogosyanDivision of Cardiology, University of California, Los Angeles, Los Angeles, California, USA.
Fei HanMR R&D Collaborations, Siemens Medical Solutions USA, Inc, Los Angeles, California, USA.
Holden H WuDepartment of Radiological Sciences, University of California, Los Angeles, Los Angeles, California, USA.ORCID 0000-0002-2585-5916
J Paul FinnDepartment of Radiological Sciences, University of California, Los Angeles, Los Angeles, California, USA.
Kim-Lien NguyenDepartment of Radiological Sciences, University of California, Los Angeles, Los Angeles, California, USA.ORCID 0000-0002-8854-2976
Xiaodong ZhongDepartment of Radiological Sciences, University of California, Los Angeles, Los Angeles, California, USA.ORCID 0000-0001-8355-5279

Funding

Ferumoxytol-Enhanced Cardiac MRI for Ischemic Heart DiseaseR01HL148182 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NGUYEN, KIM-LIEN T · 2020 to 2024
$3.8M
Cardiac MRI for Reperfusion Spatial Mapping to Improve Heart Failure OutcomesR01HL169695 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Kim-Lien T Nguyen · 2023 to 2026
$2.7M
CSRD VA I01 CX001901NHLBI NIH HHS R01 HL148182NHLBI NIH HHS R01 HL169695NIH HHS R01HL148182Siemens Medical Solutions USA, IncUCLA Academic Senate's Council on Research (COR)Veterans Health Administration CSRD I01-CX001901
6 · The paper itself

Abstract

purposeTo develop a denoising technique for displacement encoding with stimulated echoes (DENSE) MRI that improves spatial resolution, efficiency, and accuracy, and enhances accessibility by implementing DENSE MRI at 0.55 T.

methodsWe developed a low-rank denoising technique, which leverages multidimensional spiral cine DENSE MRI data for empirical noise estimation via Monte Carlo simulation combined with automatic noise suppression. Thirty-six subjects (16 healthy, 20 with heart disease) were scanned at 3 T with breath-hold standard-resolution 2D cine DENSE (2.8 × 2.8 mm

resultsApparent magnitude SNR, phase SNR and scan efficiency were significantly improved after denoising in both standard-resolution and high-resolution DENSE (all p < 0.01). Bland-Altman analysis showed denoised high-resolution DENSE E

conclusionOur proposed denoising technique may allow DENSE MRI with improved spatial resolution, efficiency, and accuracy, and enhanced accessibility at 0.55 T.

Indexed as

HeartHeart DiseasesImage Processing, Computer-AssistedMagnetic Resonance Imaging, CineAdultAlgorithmsBreath HoldingComputer SimulationFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedMaleMiddle AgedMonte Carlo MethodReproducibility of Resultscardiovascular magnetic resonancedenoisingDENSEsignal‐to‐noise ratiospiral MRIstrain imaging

Identifiers

PMID41802980
PMCPMC13050631

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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.