[HTML][HTML] Clinical recommendations for cardiovascular magnetic resonance map** of T1, T2, T2* and extracellular volume: a consensus statement by the Society for …
Parametric map** techniques provide a non-invasive tool for quantifying tissue alterations
in myocardial disease in those eligible for cardiovascular magnetic resonance (CMR) …
in myocardial disease in those eligible for cardiovascular magnetic resonance (CMR) …
Myocardial T1 and ECV measurement: underlying concepts and technical considerations
Myocardial native T1 and extracellular volume fraction (ECV) map** have emerged as
cardiac magnetic resonance biomarkers providing unique insight into cardiac …
cardiac magnetic resonance biomarkers providing unique insight into cardiac …
T1 map** in cardiac MRI
Quantitative myocardial and blood T 1 have recently achieved clinical utility in numerous
pathologies, as they provide non-invasive tissue characterization with the potential to …
pathologies, as they provide non-invasive tissue characterization with the potential to …
Investigating and reducing the effects of confounding factors for robust T1 and T2 map** with cardiac MR fingerprinting
This study aims to improve the accuracy and consistency of T 1 and T 2 measurements
using cardiac MR Fingerprinting (cMRF) by investigating and accounting for the effects of …
using cardiac MR Fingerprinting (cMRF) by investigating and accounting for the effects of …
Development, validation, qualification, and dissemination of quantitative MR methods: overview and recommendations by the ISMRM quantitative MR study group
On behalf of the International Society for Magnetic Resonance in Medicine (ISMRM)
Quantitative MR Study Group, this article provides an overview of considerations for the …
Quantitative MR Study Group, this article provides an overview of considerations for the …
[HTML][HTML] Accelerated cardiac T1 map** in four heartbeats with inline MyoMapNet: a deep learning-based T1 estimation approach
Purpose To develop and evaluate MyoMapNet, a rapid myocardial T 1 map** approach
that uses fully connected neural networks (FCNN) to estimate T 1 values from four T 1 …
that uses fully connected neural networks (FCNN) to estimate T 1 values from four T 1 …
DeepFittingNet: A deep neural network‐based approach for simplifying cardiac T1 and T2 estimation with improved robustness
R Guo, D Si, Y Fan, X Qian, H Zhang… - Magnetic …, 2023 - Wiley Online Library
Purpose To develop and evaluate a deep neural network (DeepFittingNet) for T1/T2
estimation of the most commonly used cardiovascular MR map** sequences to simplify …
estimation of the most commonly used cardiovascular MR map** sequences to simplify …
Fast and accurate calculation of myocardial T1 and T2 values using deep learning Bloch equation simulations (DeepBLESS)
Purpose To propose and evaluate a deep learning model for rapid and accurate calculation
of myocardial T1/T2 values based on a previously proposed Bloch equation simulation with …
of myocardial T1/T2 values based on a previously proposed Bloch equation simulation with …
Model-based myocardial T1 map** with sparsity constraints using single-shot inversion-recovery radial FLASH cardiovascular magnetic resonance
X Wang, F Kohler, C Unterberg-Buchwald… - Journal of …, 2019 - Springer
Background This study develops a model-based myocardial T1 map** technique with
sparsity constraints which employs a single-shot inversion-recovery (IR) radial fast low angle …
sparsity constraints which employs a single-shot inversion-recovery (IR) radial fast low angle …
MR fingerprinting for water T1 and fat fraction quantification in fat infiltrated skeletal muscles
B Marty, PG Carlier - Magnetic resonance in medicine, 2020 - Wiley Online Library
Purpose To develop a fast MR fingerprinting (MRF) sequence for simultaneous estimation of
water T1 (T1H2O) and fat fraction (FF) in fat infiltrated skeletal muscles. Methods The MRF …
water T1 (T1H2O) and fat fraction (FF) in fat infiltrated skeletal muscles. Methods The MRF …