Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review

L Li, VA Zimmer, JA Schnabel, X Zhuang - Medical image analysis, 2022 - Elsevier
Late gadolinium enhancement magnetic resonance imaging (LGE MRI) is commonly used
to visualize and quantify left atrial (LA) scars. The position and extent of LA scars provide …

[HTML][HTML] Multi-modality cardiac image computing: A survey

L Li, W Ding, L Huang, X Zhuang, V Grau - Medical Image Analysis, 2023 - Elsevier
Multi-modality cardiac imaging plays a key role in the management of patients with
cardiovascular diseases. It allows a combination of complementary anatomical …

Sensitivity analysis of in silico fluid simulations to predict thrombus formation after left atrial appendage occlusion

J Mill, V Agudelo, AL Olivares, MI Pons, E Silva… - Mathematics, 2021 - mdpi.com
Atrial fibrillation (AF) is nowadays the most common human arrhythmia and it is considered
a marker of an increased risk of embolic stroke. It is known that 99% of AF-related thrombi …

[HTML][HTML] A transferable in-silico augmented ischemic model for virtual myocardial perfusion imaging and myocardial infarction detection

Z Harnod, C Lin, HW Yang, ZW Wang, HL Huang… - Medical Image …, 2024 - Elsevier
This paper proposes an innovative approach to generate a generalized myocardial
ischemia database by modeling the virtual electrophysiology of the heart and the 12-lead …

Quantification of right atrial fibrosis by cardiac magnetic resonance: verification of the method to standardize thresholds

C Gunturiz-Beltrán, R Borràs, F Alarcón, P Garre… - Revista Española de …, 2023 - Elsevier
Introduction and objectives Late gadolinium-enhanced cardiac magnetic resonance (LGE-
CMR) allows noninvasive detection of left atrial fibrosis in patients with atrial fibrillation (AF) …

The impact of atrial voltage and conduction velocity phenotypes on atrial fibrillation recurrence

P Silva Cunha, S Laranjo, S Monteiro… - Frontiers in …, 2024 - frontiersin.org
Introduction Low atrial voltage and slow conduction velocity (CV) have been associated with
atrial fibrillation (AF); however, their interaction and relative importance as early disease …

A cartesian grid representation of left atrial appendages for a deep learning estimation of thrombogenic risk predictors

C Acebes, X Morales, O Camara - … and Computational Models of the Heart …, 2021 - Springer
Computational fluid dynamics (CFD) simulations have recently been used to assess
haemodynamic implications of atrial fibrillation on geometrical meshes built from patient …

Discrepancy Between LGE-MRI and Electro-Anatomical Map** for Regional Detection of Pathological Atrial Substrate

C Goetz, P Martínez Díaz, J Sánchez… - Current Directions in …, 2023 - degruyter.com
Atrial fibrillation (AF) is the most common sustained arrhythmia posing a significant burden
to patients and leading to an increased risk of stroke and heart failure. Additional ablation of …

Scar-related ventricular arrhythmia prediction from imaging using explainable deep learning

B Ly, S Finsterbach, M Nuñez-Garcia, H Cochet… - … on Functional Imaging …, 2021 - Springer
The aim of this study is to create an automatic framework for sustained ventricular arrhythmia
(VA) prediction using cardiac computed tomography (CT) images. We built an image …

Computerized analysis of the human heart to guide targeted treatment of atrial fibrillation

R Sharma, A Lo, Z **ong, X Zhuang, J Kennelly… - … Workshop on Statistical …, 2022 - Springer
Current treatment for atrial fibrillation (AF) remains suboptimal due to a lack of
understanding of the atrial substrate which sustains AF in human atria. Comparing atrial …