Toward replacing late gadolinium enhancement with artificial intelligence virtual native enhancement for gadolinium-free cardiovascular magnetic resonance tissue …
Q Zhang, MK Burrage, E Lukaschuk… - Circulation, 2021 - Am Heart Assoc
Background: Late gadolinium enhancement (LGE) cardiovascular magnetic resonance
(CMR) imaging is the gold standard for noninvasive myocardial tissue characterization but …
(CMR) imaging is the gold standard for noninvasive myocardial tissue characterization but …
Machine learning phenotyping of scarred myocardium from cine in hypertrophic cardiomyopathy
J Mancio, F Pashakhanloo… - European Heart …, 2022 - academic.oup.com
Aims Cardiovascular magnetic resonance (CMR) with late-gadolinium enhancement (LGE)
is increasingly being used in hypertrophic cardiomyopathy (HCM) for diagnosis, risk …
is increasingly being used in hypertrophic cardiomyopathy (HCM) for diagnosis, risk …
Improved quantification of myocardium scar in late gadolinium enhancement images: deep learning based image fusion approach
AS Fahmy, EJ Rowin, RH Chan… - Journal of Magnetic …, 2021 - Wiley Online Library
Background Quantification of myocardium scarring in late gadolinium enhanced (LGE)
cardiac magnetic resonance imaging can be challenging due to low scar‐to‐background …
cardiac magnetic resonance imaging can be challenging due to low scar‐to‐background …
Texture signatures of native myocardial T1 as novel imaging markers for identification of hypertrophic cardiomyopathy patients without scar
U Neisius, H El‐Rewaidy… - Journal of Magnetic …, 2020 - Wiley Online Library
Background In patients with suspected or known hypertrophic cardiomyopathy (HCM), late
gadolinium enhancement (LGE) provides diagnostic and prognostic value. However …
gadolinium enhancement (LGE) provides diagnostic and prognostic value. However …
Feasibility of late gadolinium enhancement (LGE) in ischemic cardiomyopathy using 2D-multisegment LGE combined with artificial intelligence reconstruction deep …
G Muscogiuri, C Martini, M Gatti, S Dell'Aversana… - International Journal of …, 2021 - Elsevier
Background Despite the low spatial resolution of 2D-multisegment late gadolinium
enhancement (2D-MSLGE) sequences, it may be useful in uncooperative patients instead of …
enhancement (2D-MSLGE) sequences, it may be useful in uncooperative patients instead of …
Texture analysis and machine learning of non-contrast T1-weighted MR images in patients with hypertrophic cardiomyopathy—Preliminary results
Purpose To test in a first proof-of-concept study whether texture analysis (TA) allows for the
detection of myocardial tissue alterations in hypertrophic cardiomyopathy (HCM) on non …
detection of myocardial tissue alterations in hypertrophic cardiomyopathy (HCM) on non …
[HTML][HTML] Accuracy and reproducibility of semi-automated late gadolinium enhancement quantification techniques in patients with hypertrophic cardiomyopathy
Y Mikami, L Kolman, SX Joncas, J Stirrat… - Journal of …, 2014 - Springer
Background The presence and extent of late gadolinium enhancement (LGE) has been
associated with adverse events in patients with hypertrophic cardiomyopathy (HCM). Signal …
associated with adverse events in patients with hypertrophic cardiomyopathy (HCM). Signal …
Artificial intelligence for contrast-free MRI: scar assessment in myocardial infarction using deep learning–based virtual native enhancement
Background: Myocardial scars are assessed noninvasively using cardiovascular magnetic
resonance late gadolinium enhancement (LGE) as an imaging gold standard. A contrast …
resonance late gadolinium enhancement (LGE) as an imaging gold standard. A contrast …
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] Assessment of ventricular tachyarrhythmia in patients with hypertrophic cardiomyopathy with machine learning-based texture analysis of late gadolinium …
D Alis, A Guler, M Yergin, O Asmakutlu - Diagnostic and Interventional …, 2020 - Elsevier
Objective To assess the diagnostic value of machine learning-based texture feature analysis
of late gadolinium enhancement images on cardiac magnetic resonance imaging (MRI) for …
of late gadolinium enhancement images on cardiac magnetic resonance imaging (MRI) for …
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