Big data in cardiology: State-of-art and future prospects

H Dai, A Younis, JD Kong, L Puce… - Frontiers in …, 2022 - frontiersin.org
Cardiological disorders contribute to a significant portion of the global burden of disease.
Cardiology can benefit from Big Data, which are generated and released by different …

[HTML][HTML] Magnetic resonance myocardial T1ρ mapping: Technical overview, challenges, emerging developments, and clinical applications

A Bustin, WRT Witschey, RB van Heeswijk… - Journal of …, 2023 - Elsevier
The potential of cardiac magnetic resonance to improve cardiovascular care and patient
management is considerable. Myocardial T1-rho (T1ρ) mapping, in particular, has emerged …

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] Quality control-driven deep ensemble for accountable automated segmentation of cardiac magnetic resonance LGE and VNE images

RA Gonzales, DH Ibáñez, E Hann… - Frontiers in …, 2023 - frontiersin.org
Background Late gadolinium enhancement (LGE) cardiovascular magnetic resonance
(CMR) imaging is the gold standard for non-invasive myocardial tissue characterisation …

PCMC-T1: Free-Breathing Myocardial T1 Mapping with Physically-Constrained Motion Correction

E Hanania, I Volovik, L Barkat, I Cohen… - … Conference on Medical …, 2023 - Springer
T 1 mapping is a quantitative magnetic resonance imaging (qMRI) technique that has
emerged as a valuable tool in the diagnosis of diffuse myocardial diseases. However …

[HTML][HTML] Inter-scanner comparability of Z-scores for native myocardial T1 and T2 mapping

S Razzaq, L Haririsanati, K Eyre, R Garg… - Journal of …, 2024 - Elsevier
Abstract Background Cardiovascular Magnetic Resonance (CMR) native T1 and T2
mapping serve as robust, contrast-agent-free diagnostic tools, but hardware-and software …

Artificial intelligence in cardiac MRI

VG Kouzehkonan, JP Finn - Intelligence-Based Cardiology and Cardiac …, 2024 - Elsevier
Artificial intelligence (AI) stands to impact all aspects of the cardiac MRI (magnetic
resonance imaging) workflow. Recent advances in data processing power and sharing of …

Motion-compensated T1 mapping in cardiovascular magnetic resonance imaging: a technical review

CD Sheagren, T Cao, JH Patel, Z Chen… - Frontiers in …, 2023 - frontiersin.org
T 1 mapping is becoming a staple magnetic resonance imaging method for diagnosing
myocardial diseases such as ischemic cardiomyopathy, hypertrophic cardiomyopathy …

Contrast-Agnostic Groupwise Registration by Robust PCA for Quantitative Cardiac MRI

X Li, Y Zhang, Y Zhao, J van Gemert, Q Tao - International Workshop on …, 2023 - Springer
Quantitative cardiac magnetic resonance imaging (MRI) is an increasingly important
diagnostic tool for cardiovascular diseases. Yet, co-registration of all baseline images within …

[HTML][HTML] Improving the efficiency and accuracy of CMR with AI–review of evidence and proposition of a roadmap to clinical translation

Q Zhang, A Fotaki, S Ghadimi, Y Wang… - Journal of …, 2024 - Elsevier
Cardiovascular magnetic resonance (CMR) is an important imaging modality for the
assessment of heart disease; however, limitations of CMR include long exam times and high …