Artificial intelligence for contrast-free MRI: scar assessment in myocardial infarction using deep learning–based virtual native enhancement

Q Zhang, MK Burrage, M Shanmuganathan… - Circulation, 2022 - Am Heart Assoc
Background: Myocardial scars are assessed noninvasively using cardiovascular magnetic
resonance late gadolinium enhancement (LGE) as an imaging gold standard. A contrast …

[HTML][HTML] Optimized automated cardiac MR scar quantification with GAN‐based data augmentation

DR Lustermans, S Amirrajab, M Veta… - Computer methods and …, 2022 - Elsevier
Background The clinical utility of late gadolinium enhancement (LGE) cardiac MRI is limited
by the lack of standardization, and time-consuming postprocessing. In this work, we tested …

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 …

Improvement of late gadolinium enhancement image quality using a deep learning–based reconstruction algorithm and its influence on myocardial scar quantification

N van der Velde, HC Hassing, BJ Bakker… - European …, 2021 - Springer
Objectives The aim of this study was to assess the effect of a deep learning (DL)–based
reconstruction algorithm on late gadolinium enhancement (LGE) image quality and to …

[HTML][HTML] Anatomically informed deep learning on contrast-enhanced cardiac magnetic resonance imaging for scar segmentation and clinical feature extraction

DM Popescu, HG Abramson, R Yu, C Lai… - … Digital Health Journal, 2022 - Elsevier
Background Visualizing fibrosis on cardiac magnetic resonance (CMR) imaging with
contrast enhancement (late gadolinium enhancement; LGE) is paramount in characterizing …

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 …

Fully automated segmentation of left ventricular scar from 3D late gadolinium enhancement magnetic resonance imaging using a cascaded multi‐planar U‐Net …

F Zabihollahy, M Rajchl, JA White, E Ukwatta - Medical physics, 2020 - Wiley Online Library
Purpose Three‐dimensional (3D) late gadolinium enhancement magnetic resonance (LGE‐
MR) imaging enables the quantification of myocardial scar at high resolution with …

Convolutional neural network‐based approach for segmentation of left ventricle myocardial scar from 3D late gadolinium enhancement MR images

F Zabihollahy, JA White, E Ukwatta - Medical physics, 2019 - Wiley Online Library
Purpose Accurate three‐dimensional (3D) segmentation of myocardial replacement fibrosis
(ie, scar) is emerging as a potentially valuable tool for risk stratification and procedural …

Development and testing of a deep learning-based strategy for scar segmentation on CMR-LGE images

S Moccia, R Banali, C Martini, G Muscogiuri… - … Resonance Materials in …, 2019 - Springer
Objective The aim of this paper is to investigate the use of fully convolutional neural
networks (FCNNs) to segment scar tissue in the left ventricle from cardiac magnetic …

Subacute and chronic left ventricular myocardial scar: accuracy of texture analysis on nonenhanced cine MR images

B Baessler, M Mannil, S Oebel, D Maintz, H Alkadhi… - Radiology, 2018 - pubs.rsna.org
Purpose To test whether texture analysis (TA) allows for the diagnosis of subacute and
chronic myocardial infarction (MI) on noncontrast material–enhanced cine cardiac magnetic …