Present and future innovations in AI and cardiac MRI

MA Morales, WJ Manning, R Nezafat - Radiology, 2024 - pubs.rsna.org
Cardiac MRI is used to diagnose and treat patients with a multitude of cardiovascular
diseases. Despite the growth of clinical cardiac MRI, complicated image prescriptions and …

Cardiovascular magnetic resonance imaging in myocardial involvement of systemic lupus erythematosus

S Luo, WQ Dou, UJ Schoepf, A Varga-Szemes… - Trends in …, 2023 - Elsevier
Systemic lupus erythematosus (SLE) is a chronic autoimmune disorder that primarily affects
young women. Myocardial involvement in SLE frequently occurs and it is rather challenging …

Accelerated cardiac MRI cine with use of resolution enhancement generative adversarial inline neural network

S Yoon, S Nakamori, A Amyar, S Assana, J Cirillo… - Radiology, 2023 - pubs.rsna.org
Background Cardiac cine can benefit from deep learning–based image reconstruction to
reduce scan time and/or increase spatial and temporal resolution. Purpose To develop and …

[HTML][HTML] The right ventricular dysfunction and ventricular interdependence in patients with DM: assessment using cardiac MR feature tracking

R Shi, ZG Yang, YK Guo, WL Qian, Y Gao… - Cardiovascular …, 2023 - Springer
Background To investigate the difference of right ventricular (RV) structural and functional
alteration in patients with diabetes mellitus (DM) with preserved left ventricular ejection …

Toward right ventricle segmentation in cardiac MRIs via feature multiplexing and multiscale weighted convolution

J Liu, M Li, S Gong… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Cardiovascular diseases are the leading cause of mortality, and accurate segmentation of
ventricular regions incardiac magnetic resonance images (MRIs) is crucial for diagnosing …

Accelerating GRAPPA reconstruction using SoC design for real-time cardiac MRI

A Basit, O Inam, H Omer - Computers in Biology and Medicine, 2023 - Elsevier
Real-time cardiac MRI is a rapidly developing area of research that has the potential to
improve the diagnosis and treatment of cardiovascular diseases. However, the acquisition of …

3D model-based super-resolution motion-corrected cardiac T1 mapping

S Hufnagel, S Metzner, KM Kerkering… - Physics in Medicine …, 2022 - iopscience.iop.org
Objective. To provide 3D high-resolution cardiac T1 maps using model-based super-
resolution reconstruction (SRR). Approach. Due to signal-to-noise ratio limitations and the …

Cerebral hypometabolism mediates the effect of stroke volume on cognitive impairment in heart failure patients

C Zheng, Y Cui, S Gu, S Yan, B Cui, T Song… - ESC Heart …, 2024 - Wiley Online Library
Aims The present study aimed to phenotype the cerebral structural and glucose metabolic
alterations in patients with heart failure (HF) using simultaneous positron emission …

[HTML][HTML] Post-hoc standardisation of parametric T1 maps in cardiovascular magnetic resonance imaging: a proof-of-concept

D Viezzer, T Hadler, J Gröschel, C Ammann… - …, 2024 - thelancet.com
Background In cardiovascular magnetic resonance imaging parametric T1 mapping lacks
universally valid reference values. This limits its extensive use in the clinical routine. The aim …

[HTML][HTML] Introduction of a cascaded segmentation pipeline for parametric T1 mapping in cardiovascular magnetic resonance to improve segmentation performance

D Viezzer, T Hadler, C Ammann, E Blaszczyk… - Scientific Reports, 2023 - nature.com
The manual and often time-consuming segmentation of the myocardium in cardiovascular
magnetic resonance is increasingly automated using convolutional neural networks (CNNs) …