Evidence map›Paper›PMID 41913460›Full record

ArticleMagnetic resonance in medicine2026

Dynamic Mode Decomposition (DMD) for Low-Latency Real-Time Cardiac MRI.

Ecrin Yagiz, Bilal Tasdelen, Ibrahim K Ozaslan, Mihailo R Jovanovic, Ye Tian, Krishna S Nayak

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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.

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0citing papers in PubMed
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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

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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

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

6 authors.

Ecrin YagizMing Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA.ORCID https://orcid.org/0000-0001-8113-2192
Bilal TasdelenMing Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA.ORCID https://orcid.org/0000-0001-6462-3651
Ibrahim K OzaslanMing Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA.
Mihailo R JovanovicMing Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA.
Ye TianMing Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA.ORCID https://orcid.org/0000-0002-8559-4404
Krishna S NayakMing Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA.ORCID https://orcid.org/0000-0001-5735-3550

Funding

NIH HHS R01- HD115284NIH HHS R21-HL159533NIH HHS U01-HL167613
6 · The paper itself

Abstract

purposeTo demonstrate dynamic mode decomposition (DMD) for high spatiotemporal low-latency online reconstruction in 2D real-time cardiac MRI.

methodsDMD was applied to 2D spiral balanced steady state free precession (bSSFP) real-time adult and fetal cardiac MRI at 0.55 T, with data from 10 healthy adult volunteers (3F/7M; age: 21-49; BMI: 20-34) and 6 pregnant females (maternal age: 30-41; maternal BMI: 22-47; gestational age: 23 weeks 6 days-37 weeks 5 days). DMD model appropriateness was assessed against off-line spatiotemporally constrained reconstruction (STCR) as the reference. We retrospectively evaluated DMD-based low-latency online reconstruction at two temporal resolutions (21 and 42 ms/frame). DMD modes were estimated from the most recently acquired frames and used to remove aliasing while preserving underlying physiological motion.

resultsDMD represented cardiac dynamics with normalized root-mean-square error (NRMSE) less than 7% when all modes retained. Low-latency DMD-based online reconstruction performed de-aliasing while preserving the physiological motion, supporting framerates (21 and 42 ms/frame).

conclusionWe have demonstrated that the DMD framework is applicable to 2D real-time cardiac MRI and for low-latency de-aliasing for better online reconstruction.

Indexed as

HeartImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMagnetic Resonance ImagingMagnetic Resonance Imaging, CineAdultAlgorithmsFemaleHumansImage EnhancementPregnancyReproducibility of ResultsRetrospective StudiesYoung Adultcardiac MRIdynamic mode decompositionimage reconstructioninteractive imagingonline reconstruction

Identifiers

PMID41913460
PMCPMC13269186

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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.