Qualitative and quantitative analysis of functional cardiac MRI using a novel compressed SENSE sequence with artificial intelligence image reconstruction

Combining CS sequences with AI-based image reconstruction for denoising significantly decreases scan time in cardiac imaging while upholding LV functional analysis accuracy and delivering stable outcomes for image quality and artifact reduction. This integration presents a promising advancement in cardiac MRI, promising improved efficiency without compromising diagnostic quality.

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Publication Details

Journal
Magnetic Resonance Imaging
Published
2025-06-19
DOI
https://doi.org/10.1016/j.mri.2025.110448
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Qualitative and quantitative analysis of functional cardiac MRI using a novel compressed SENSE sequence with artificial intelligence image reconstruction

Gajzler Matej, David Masip Rodó, Sonnabend Kristina, S. Thomas et al.
Magnetic Resonance Imaging
Advanced MRI Techniques and Applications
article

Qualitative and quantitative analysis of functional cardiac MRI using a novel compressed SENSE sequence with artificial intelligence image reconstruction

Gajzler Matej, David Masip Rodó, Sonnabend Kristina, S. Thomas, Thomas Robert, Langenbach Isabel Luisa, Nidhin Philip, Klein Konstantin, Pennig Lenhard, Langenbach Marcel Christian
article en

Abstract

Combining CS sequences with AI-based image reconstruction for denoising significantly decreases scan time in cardiac imaging while upholding LV functional analysis accuracy and delivering stable outcomes for image quality and artifact reduction. This integration presents a promising advancement in cardiac MRI, promising improved efficiency without compromising diagnostic quality.

Magnetic Resonance ImagingVol. 122
University Hospital Cologne (DE)
Openalex Percentile: Top 78%
Advanced MRI Techniques and Applications
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