Magnetic resonance imaging of myocardial strain: a review of current approaches
T Chitiboi, L Axel - Journal of Magnetic Resonance Imaging, 2017 - Wiley Online Library
Contraction of the heart is central to its purpose of pumping blood around the body. While
simple global function measures (such as the ejection fraction) are most commonly used in …
simple global function measures (such as the ejection fraction) are most commonly used in …
Patient-specific inverse modeling of in vivo cardiovascular mechanics with medical image-derived kinematics as input data: concepts, methods, and applications
JH Bracamonte, SK Saunders, JS Wilson, UT Truong… - Applied Sciences, 2022 - mdpi.com
Inverse modeling approaches in cardiovascular medicine are a collection of methodologies
that can provide non-invasive patient-specific estimations of tissue properties, mechanical …
that can provide non-invasive patient-specific estimations of tissue properties, mechanical …
Reproducibility study on myocardial strain assessment using fast-SENC cardiac magnetic resonance imaging
S Giusca, G Korosoglou, V Zieschang, L Stoiber… - Scientific Reports, 2018 - nature.com
Myocardial strain is a well validated parameter for estimating left ventricular (LV)
performance. The aim of our study was to evaluate the inter-study as well as intra-and …
performance. The aim of our study was to evaluate the inter-study as well as intra-and …
StrainNet: improved myocardial strain analysis of cine MRI by deep learning from DENSE
Purpose To develop a three-dimensional (two dimensions+ time) convolutional neural
network trained with displacement encoding with stimulated echoes (DENSE) data for …
network trained with displacement encoding with stimulated echoes (DENSE) data for …
[HTML][HTML] Reproducibility of global and segmental myocardial strain using cine DENSE at 3Â T: a multicenter cardiovascular magnetic resonance study in healthy …
Background While multiple cardiovascular magnetic resonance (CMR) methods provide
excellent reproducibility of global circumferential and global longitudinal strain, achieving …
excellent reproducibility of global circumferential and global longitudinal strain, achieving …
Emerging MRI techniques for molecular and functional phenotyping of the diseased heart
HLM Cheng - Frontiers in Cardiovascular Medicine, 2022 - frontiersin.org
Recent advances in cardiac MRI (CMR) capabilities have truly transformed its potential for
deep phenotyping of the diseased heart. Long known for its unparalleled soft tissue contrast …
deep phenotyping of the diseased heart. Long known for its unparalleled soft tissue contrast …
A deep-learning semantic segmentation approach to fully automated MRI-based left-ventricular deformation analysis in cardiotoxicity
J Kar, MV Cohen, SP McQuiston, CM Malozzi - Magnetic resonance …, 2021 - Elsevier
Left-ventricular (LV) strain measurements with the Displacement Encoding with Stimulated
Echoes (DENSE) MRI sequence provide accurate estimates of cardiotoxicity damage …
Echoes (DENSE) MRI sequence provide accurate estimates of cardiotoxicity damage …
Can global longitudinal strain (GLS) with magnetic resonance prognosticate early cancer therapy-related cardiac dysfunction (CTRCD) in breast cancer patients, a …
J Kar, MV Cohen, SA McQuiston, CM Malozzi - Magnetic resonance …, 2023 - Elsevier
Abstract Purpose To determine if Artificial Intelligence-based computation of global
longitudinal strain (GLS) from left ventricular (LV) MRI is an early prognostic factor of cancer …
longitudinal strain (GLS) from left ventricular (LV) MRI is an early prognostic factor of cancer …
Myocardial strain in healthy adults across a broad age range as revealed by cardiac magnetic resonance imaging at 1.5 and 3.0 T: Associations of myocardial strain …
Purpose To assess myocardial strain using cine displacement encoding with stimulated
echoes (DENSE) using 1.5 T and 3.0 T MRI in healthy adults. Materials and Methods …
echoes (DENSE) using 1.5 T and 3.0 T MRI in healthy adults. Materials and Methods …
Multimodal learning to improve cardiac late mechanical activation detection from cine mr images
Class imbalance in the medical image dataset is almost inherent due to the limited
availability of clinical data for certain diseases and patient populations. Under-represented …
availability of clinical data for certain diseases and patient populations. Under-represented …