Artificial intelligence in cardiac magnetic resonance fingerprinting

C Velasco, TJ Fletcher, RM Botnar… - Frontiers in …, 2022 - frontiersin.org
Magnetic resonance fingerprinting (MRF) is a fast MRI-based technique that allows for
multiparametric quantitative characterization of the tissues of interest in a single acquisition …

Quality of science and reporting for radiomics in cardiac magnetic resonance imaging studies: a systematic review

S Chang, K Han, YJ Suh, BW Choi - European Radiology, 2022 - Springer
Objectives To evaluate the quality of radiomics studies using cardiac magnetic resonance
imaging (CMR) according to the radiomics quality score (RQS), Transparent Reporting of a …

Sensitivity of myocardial radiomic features to imaging parameters in cardiac MR imaging

J Jang, H El‐Rewaidy, LH Ngo… - Journal of Magnetic …, 2021 - Wiley Online Library
Background Cardiac magnetic resonance (MR) images are often collected with different
imaging parameters, which may impact the calculated values of myocardial radiomic …

The role of cardiovascular magnetic resonance imaging in the evaluation of hypertrophic cardiomyopathy

S Sivalokanathan - Diagnostics, 2022 - mdpi.com
Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiac disorder,
affecting 1 out of 500 adults globally. It is a widely heterogeneous disorder characterized by …

The role of fibrosis in cardiomyopathies: an opportunity to develop novel biomarkers of disease activity

E Angeli, M Jordan, M Otto, SD Stojanović, M Karsdal… - Matrix Biology, 2024 - Elsevier
Cardiomyopathies encompass a spectrum of heart disorders with diverse causes and
presentations. Fibrosis stands out as a shared hallmark among various cardiomyopathies …

[HTML][HTML] Native T1 mapping detects both acute clinical rejection and graft dysfunction in pediatric heart transplant patients

DP Richmann, N Gurijala, JG Mandell, A Doshi… - Journal of …, 2022 - Elsevier
Background Cardiovascular magnetic resonance (CMR) is emerging as an important tool for
cardiac allograft assessment. Native T1 mapping may add value in identifying rejection and …

Myocardial involvement characteristics by cardiac MR imaging in neurological and non-neurological Wilson disease patients

W Deng, J Zhang, Z Jia, Z Pan, Z Wang, H Xu… - Insights into …, 2024 - Springer
Objectives To explore the characteristics of myocardial involvement in Wilson Disease (WD)
patients by cardiac magnetic resonance (CMR). Methods We prospectively included WD …

Automated assessment of cardiac pathologies on cardiac MRI using T1-mapping and late gadolinium phase sensitive inversion recovery sequences with deep …

AM Paciorek, CE von Schacky, SC Foreman… - BMC Medical …, 2024 - Springer
Background A deep learning (DL) model that automatically detects cardiac pathologies on
cardiac MRI may help streamline the diagnostic workflow. To develop a DL model to detect …

[HTML][HTML] Challenges in clinical translation of cardiac magnetic resonance imaging radiomics in non-ischemic cardiomyopathy: a narrative review

J Deng, L Zhou, B Liao, Q Cai, G Luo… - Cardiovascular …, 2024 - pmc.ncbi.nlm.nih.gov
Background and Objective Radiomics is an emerging technology that facilitates the
quantitative analysis of multi-modal cardiac magnetic resonance imaging (MRI). This study …

Machine learning to predict left ventricular reverse remodeling by guideline-directed medical therapy by utilizing texture feature of extracellular volume fraction in …

S Suyama, S Kato, T Nakaura, M Azuma, S Kodama… - Heart and Vessels, 2023 - Springer
Extracellular volume fraction (ECV) by cardiac magnetic resonance (CMR) allows for the
non-invasive quantification of diffuse myocardial fibrosis. Texture analysis and machine …