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Magnetic Resonance in Medicine
Article . 2026 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Dynamic Mode Decomposition ( DMD ) for Low‐Latency Real‐Time Cardiac MRI

Authors: Ecrin Yagiz; Bilal Tasdelen; Ibrahim K. Ozaslan; Mihailo R. Jovanovic; Ye Tian; Krishna S. Nayak;

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

Abstract

ABSTRACT Purpose To demonstrate dynamic mode decomposition ( DMD ) for high spatiotemporal low‐latency online reconstruction in 2D real‐time cardiac MRI. Methods DMD 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. Results DMD 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). Conclusion We have demonstrated that the DMD framework is applicable to 2D real‐time cardiac MRI and for low‐latency de‐aliasing for better online reconstruction.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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