Recent advances in fibrosis and scar segmentation from cardiac MRI: a state-of-the-art review and future perspectives
Segmentation of cardiac fibrosis and scars is essential for clinical diagnosis and can provide
invaluable guidance for the treatment of cardiac diseases. Late Gadolinium enhancement …
invaluable guidance for the treatment of cardiac diseases. Late Gadolinium enhancement …
Cardiac imaging: working towards fully-automated machine analysis & interpretation
Introduction: Non-invasive imaging plays a critical role in managing patients with
cardiovascular disease. Although subjective visual interpretation remains the clinical …
cardiovascular disease. Although subjective visual interpretation remains the clinical …
Three-dimensional deep convolutional neural networks for automated myocardial scar quantification in hypertrophic cardiomyopathy: a multicenter multivendor study
AS Fahmy, U Neisius, RH Chan, EJ Rowin… - Radiology, 2020 - pubs.rsna.org
Background Cardiac MRI late gadolinium enhancement (LGE) scar volume is an important
marker for outcome prediction in patients with hypertrophic cardiomyopathy (HCM); …
marker for outcome prediction in patients with hypertrophic cardiomyopathy (HCM); …
[HTML][HTML] Evaluation of current algorithms for segmentation of scar tissue from late gadolinium enhancement cardiovascular magnetic resonance of the left atrium: an …
R Karim, RJ Housden, M Balasubramaniam… - Journal of …, 2013 - Elsevier
Abstract Background Late Gadolinium enhancement (LGE) cardiovascular magnetic
resonance (CMR) imaging can be used to visualise regions of fibrosis and scarring in the left …
resonance (CMR) imaging can be used to visualise regions of fibrosis and scarring in the left …
[HTML][HTML] Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images
Studies have demonstrated the feasibility of late Gadolinium enhancement (LGE)
cardiovascular magnetic resonance (CMR) imaging for guiding the management of patients …
cardiovascular magnetic resonance (CMR) imaging for guiding the management of patients …
Applications of artificial intelligence in multimodality cardiovascular imaging: a state-of-the-art review
B Xu, D Kocyigit, R Grimm, BP Griffin… - Progress in cardiovascular …, 2020 - Elsevier
There has been a tidal wave of recent interest in artificial intelligence (AI), machine learning
and deep learning approaches in cardiovascular (CV) medicine. In the era of modern …
and deep learning approaches in cardiovascular (CV) medicine. In the era of modern …
Myocardial radiomics in cardiac MRI
OBJECTIVE. The purpose of this article is to review the nascent field of radiomics in cardiac
MRI. CONCLUSION. Cardiac MRI produces a large number of images in a fairly inefficient …
MRI. CONCLUSION. Cardiac MRI produces a large number of images in a fairly inefficient …
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images
Assessment of myocardial viability is essential in diagnosis and treatment management of
patients suffering from myocardial infarction, and classification of pathology on the …
patients suffering from myocardial infarction, and classification of pathology on the …
Temporal changes in interpapillary muscle dynamics as an active indicator of mitral valve and left ventricular interaction in ischemic mitral regurgitation
K Kalra, Q Wang, BV McIver, W Shi, RA Guyton… - Journal of the American …, 2014 - jacc.org
Background: Regional subpapillary myocardial hypokinesis may impair lateral reduction in
the interpapillary muscle distance (IPMD) from diastole to systole, and adversely affect mitral …
the interpapillary muscle distance (IPMD) from diastole to systole, and adversely affect mitral …
Towards enabling cardiac digital twins of myocardial infarction using deep computational models for inverse inference
Cardiac digital twins (CDTs) have the potential to offer individualized evaluation of cardiac
function in a non-invasive manner, making them a promising approach for personalized …
function in a non-invasive manner, making them a promising approach for personalized …