Conventional magnetic resonance imaging (MRI) is hampered by long scan times and only
qualitative image contrasts that prohibit a direct comparison between different systems. To …

Purpose To systematically review the techniques that address undersampling artifacts in
accelerated quantitative magnetic resonance imaging (qMRI). Methods A literature search …

Purpose To develop a model‐based reconstruction technique for single‐shot T1 mapping
with high spatial resolution, accuracy, and precision using an inversion‐recovery (IR) fast …

Purpose Magnetic resonance imaging protocols for the assessment of quantitative
information suffer from long acquisition times since multiple measurements in a parametric …

Background This study develops a model-based myocardial T1 mapping technique with
sparsity constraints which employs a single-shot inversion-recovery (IR) radial fast low angle …

Magnetic resonance imaging (MRI) is a versatile modality that can generate high‐resolution
images with a variety of tissue contrasts. However, MRI is a slow technique and requires …

Purpose To provide high‐resolution cardiac T1 mapping of various cardiac phases and cine
imaging within a single breath‐hold using continuous golden ratio‐based radial acquisition …

Purpose To improve the efficiency of native and postcontrast high‐resolution cardiac T1
mapping by utilizing cardiac motion correction. Methods Common cardiac T1 mapping …

Quantitative parameter mapping in MRI is typically performed as a two‐step procedure
where serial imaging is followed by pixelwise model fitting. In contrast, model‐based …

Deep learning methods show great potential for the efficient and precise estimation of
quantitative parameter maps from multiple magnetic resonance (MR) images. Current deep …