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.
Authors
- Gajzler Matej
- David Masip Rodó
- Sonnabend Kristina
- S. Thomas (ORCID: https://orcid.org/0000-0002-7758-7108)
- Thomas Robert (ORCID: https://orcid.org/0000-0002-6502-7082)
- Langenbach Isabel Luisa
- Nidhin Philip
- Klein Konstantin
- Pennig Lenhard
- Langenbach Marcel Christian
Institutions
- University Hospital Cologne (DE)
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