[HTML][HTML] From compressed-sensing to artificial intelligence-based cardiac MRI reconstruction
Cardiac magnetic resonance (CMR) imaging is an important tool for the non-invasive
assessment of cardiovascular disease. However, CMR suffers from long acquisition times …
assessment of cardiovascular disease. However, CMR suffers from long acquisition times …
Cardiac MR: from theory to practice
Cardiovascular disease (CVD) is the leading single cause of morbidity and mortality,
causing over 17. 9 million deaths worldwide per year with associated costs of over $800 …
causing over 17. 9 million deaths worldwide per year with associated costs of over $800 …
CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions
Cardiac CINE magnetic resonance imaging is the gold-standard for the assessment of
cardiac function. Imaging accelerations have shown to enable 3D CINE with left ventricular …
cardiac function. Imaging accelerations have shown to enable 3D CINE with left ventricular …
A completely automated pipeline for 3D reconstruction of human heart from 2D cine magnetic resonance slices
Cardiac magnetic resonance (CMR) imaging is a valuable modality in the diagnosis and
characterization of cardiovascular diseases, since it can identify abnormalities in structure …
characterization of cardiovascular diseases, since it can identify abnormalities in structure …
[HTML][HTML] Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images
M Beetz, A Banerjee, J Ossenberg-Engels… - Medical Image Analysis, 2023 - Elsevier
Cine magnetic resonance imaging (MRI) is the current gold standard for the assessment of
cardiac anatomy and function. However, it typically only acquires a set of two-dimensional …
cardiac anatomy and function. However, it typically only acquires a set of two-dimensional …
Deep learning-based reconstruction for cardiac MRI: a review
Cardiac magnetic resonance (CMR) is an essential clinical tool for the assessment of
cardiovascular disease. Deep learning (DL) has recently revolutionized the field through …
cardiovascular disease. Deep learning (DL) has recently revolutionized the field through …
Compressed sensing real-time cine imaging for assessment of ventricular function, volumes and mass in clinical practice
Objectives This study was conducted in order to evaluate the accuracy of a compressed
sensing (CS) real-time single-breath-hold cine sequence for the assessment of left and right …
sensing (CS) real-time single-breath-hold cine sequence for the assessment of left and right …
Reconstruction techniques for cardiac cine MRI
RM Menchón-Lara, F Simmross-Wattenberg… - Insights into …, 2019 - Springer
The present survey describes the state-of-the-art techniques for dynamic cardiac magnetic
resonance image reconstruction. Additionally, clinical relevance, main challenges, and …
resonance image reconstruction. Additionally, clinical relevance, main challenges, and …
Retrospective respiratory motion correction in cardiac cine MRI reconstruction using adversarial autoencoder and unsupervised learning
The aim of this study was to develop a deep neural network for respiratory motion
compensation in free‐breathing cine MRI and evaluate its performance. An adversarial …
compensation in free‐breathing cine MRI and evaluate its performance. An adversarial …
Free‐breathing whole‐heart 3D cine magnetic resonance imaging with prospective respiratory motion compensation
MH Moghari, A Barthur, ME Amaral… - Magnetic resonance …, 2018 - Wiley Online Library
Purpose To develop and validate a new prospective respiratory motion compensation
algorithm for free‐breathing whole‐heart 3D cine steady‐state free precession (SSFP) …
algorithm for free‐breathing whole‐heart 3D cine steady‐state free precession (SSFP) …