Multi‐parametric artificial neural network fitting of phase‐cycled balanced steady‐state free precession data
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DOI: 10.1002/mrm.28325
Abstract: Standard relaxation time quantification using phase‐cycled balanced steady‐state free precession (bSSFP), eg, motion‐insensitive rapid configuration relaxometry (MIRACLE), is subject to a considerable underestimation of tissue T1 and T2 due to asymmetric intra‐voxel frequency distributions. In… read more here.
Keywords: phase cycled; free precession; cycled balanced; balanced steady ... See more keywords
ORACLE: An analytical approach for T1, T2, proton density, and off‐resonance mapping with phase‐cycled balanced steady‐state free precession
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DOI: 10.1002/mrm.30388
Abstract: To develop and validate a novel analytical approach simplifying T1$$ {T}_1 $$ , T2$$ {T}_2 $$ , proton density (PD), and off‐resonance Δf$$ \Delta f $$ quantifications from phase‐cycled balanced steady‐state free precession (bSSFP) data.… read more here.
Keywords: proton density; phase cycled; resonance; analytical approach ... See more keywords
Flexible and cost-effective deep learning for accelerated multi-parametric relaxometry using phase-cycled bSSFP
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DOI: 10.1038/s41598-025-88579-z
Abstract: To accelerate the clinical adoption of quantitative magnetic resonance imaging (qMRI), frameworks are needed that not only allow for rapid acquisition, but also flexibility, cost efficiency, and high accuracy in parameter mapping. In this study,… read more here.
Keywords: relaxometry using; cost; phase cycled; multi parametric ... See more keywords