Cardiac MRI is used to diagnose and treat patients with a multitude of cardiovascular
diseases. Despite the growth of clinical cardiac MRI, complicated image prescriptions and …

Parametric mapping of the heart has become an essential part of many cardiovascular
magnetic resonance imaging exams, and is used for tissue characterization and diagnosis …

Cardiovascular magnetic resonance (CMR) imaging is the gold standard test for myocardial
tissue characterization and chamber volumetric and functional evaluation. However, manual …

Purpose To develop and evaluate a deep neural network (DeepFittingNet) for T1/T2
estimation of the most commonly used cardiovascular MR mapping sequences to simplify …

The potential of cardiac magnetic resonance to improve cardiovascular care and patient
management is considerable. Myocardial T1-rho (T1ρ) mapping, in particular, has emerged …

Background In cardiac T1 mapping, a series of T1‐weighted (T1w) images are collected and
numerically fitted to a two or three‐parameter model of the signal recovery to estimate voxel …

The objective of the current study was to investigate the performance of various deep
learning (DL) architectures for MyoMapNet, a DL model for T1 estimation using accelerated …

Quantitative Magnetic Resonance Imaging (qMRI) enables the reproducible measurement
of biophysical parameters in tissue. The challenge lies in solving a nonlinear, ill-posed …

Background Cardiac T1 mapping is valuable for evaluating myocardial fibrosis, yet its
resolution and acquisition efficiency are limited, potentially obscuring visualization of small …

Background The modified Look‐Locker inversion recovery (MOLLI) sequence is commonly
used for myocardial T1 mapping. However, it acquires images with different inversion times …