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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 …
diseases. Despite the growth of clinical cardiac MRI, complicated image prescriptions and …
[PDF][PDF] Cardiac diffusion-weighted and tensor imaging: A Society for Cardiovascular Magnetic Resonance (SCMR) special interest group consensus statement
The SCMR Cardiac Diffusion Special Interest Group wrote this SCMR-endorsed consensus
paper to provide recommendations for the research and clinical application of cardiac …
paper to provide recommendations for the research and clinical application of cardiac …
Accelerating Cardiac Diffusion Tensor Imaging With a U‐Net Based Model: Toward Single Breath‐Hold
Background In vivo cardiac diffusion tensor imaging (cDTI) characterizes myocardial
microstructure. Despite its potential clinical impact, considerable technical challenges exist …
microstructure. Despite its potential clinical impact, considerable technical challenges exist …
Deep learning-based diffusion tensor cardiac magnetic resonance reconstruction: a comparison study
In vivo cardiac diffusion tensor imaging (cDTI) is a promising Magnetic Resonance Imaging
(MRI) technique for evaluating the microstructure of myocardial tissue in living hearts …
(MRI) technique for evaluating the microstructure of myocardial tissue in living hearts …
[HTML][HTML] Synthetically trained convolutional neural networks for improved tensor estimation from free-breathing cardiac DTI
Cardiac diffusion tensor imaging (cDTI) provides invaluable information about the state of
myocardial microstructure. For further clinical dissemination, free-breathing acquisitions are …
myocardial microstructure. For further clinical dissemination, free-breathing acquisitions are …
Accelerating cardiac diffusion tensor imaging using Swin transformer with octave convolution
R Li, C Mo, G Wang, H Wang, J Huang… - International Journal of …, 2024 - Wiley Online Library
Cardiac diffusion tensor imaging (cDTI) is a promising and noninvasive magnetic resonance
imaging (MRI) technique for assessing myocardial fiber microstructure. However, its clinical …
imaging (MRI) technique for assessing myocardial fiber microstructure. However, its clinical …
Feasibility study of clinical target volume definition for soft-tissue sarcoma using muscle fiber orientations derived from diffusion tensor imaging
Objective. Soft-tissue sarcoma spreads preferentially along muscle fibers. We explore the
utility of deriving muscle fiber orientations from diffusion tensor MRI (DT-MRI) for defining the …
utility of deriving muscle fiber orientations from diffusion tensor MRI (DT-MRI) for defining the …
[HTML][HTML] Cardiac diffusion-weighted and tensor imaging: A consensus statement from the special interest group of the Society for Cardiovascular Magnetic Resonance
Thanks to recent developments in cardiovascular magnetic resonance (CMR), cardiac
diffusion-weighted magnetic resonance is fast emerging in a range of clinical applications …
diffusion-weighted magnetic resonance is fast emerging in a range of clinical applications …
Attention-based q-space Deep Learning Generalized for Accelerated Diffusion Magnetic Resonance Imaging
F Zong, Z Zhu, J Zhang, X Deng, Z Li… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Diffusion magnetic resonance imaging (dMRI) is a non-invasive method for capturing the
microanatomical information of tissues by measuring the diffusion weighted signals along …
microanatomical information of tissues by measuring the diffusion weighted signals along …
In vivo cardiac diffusion tensor imaging on an MR system featuring ultrahigh performance gradients with 200 mT/m maximum gradient strength
D Kara, Y Liu, S Chen, T Garrett… - Magnetic …, 2025 - Wiley Online Library
Purpose Our aim is to assess the potential of an MR system with ultrahigh performance
gradients (200 mT/m maximum gradient strength) to address two interrelated challenges in …
gradients (200 mT/m maximum gradient strength) to address two interrelated challenges in …