Emerging trends in fast MRI using deep-learning reconstruction on undersampled k-space data: a systematic review
Magnetic Resonance Imaging (MRI) is an essential medical imaging modality that provides
excellent soft-tissue contrast and high-resolution images of the human body, allowing us to …
excellent soft-tissue contrast and high-resolution images of the human body, allowing us to …
A systematic review and identification of the challenges of deep learning techniques for undersampled magnetic resonance image reconstruction
Deep learning (DL) in magnetic resonance imaging (MRI) shows excellent performance in
image reconstruction from undersampled k-space data. Artifact-free and high-quality MRI …
image reconstruction from undersampled k-space data. Artifact-free and high-quality MRI …
Using Adaptive Imaging Parameters to Improve PEGylated Ultrasmall Iron Oxide Nanoparticles‐Enhanced Magnetic Resonance Angiography
The PEGylated ultrasmall iron oxide nanoparticles (PUSIONPs) exhibit longer blood
residence time and better biodegradability than conventional gadolinium‐based contrast …
residence time and better biodegradability than conventional gadolinium‐based contrast …
Recent advances in highly accelerated 3D MRI
Three-dimensional MRI has gained increasing popularity in various clinical applications due
to its improved through-plane spatial resolution, which enhances the detection of subtle …
to its improved through-plane spatial resolution, which enhances the detection of subtle …
Comprehensive review of artifacts in cardiac MRI and their mitigation
Cardiac magnetic resonance imaging (CMR) is an important clinical tool that obtains high-
quality images for assessment of cardiac morphology, function, and tissue characteristics …
quality images for assessment of cardiac morphology, function, and tissue characteristics …
Improved Sensitivity Encoding Parallel Magnetic Resonance Imaging Reconstruction Algorithm Based on Efficient Sum of Outer Products Dictionary Learning
J Duan, Y Su - Journal of Shanghai Jiaotong University (Science), 2023 - Springer
Sensitivity encoding (SENSE) is a parallel magnetic resonance imaging (MRI)
reconstruction model by utilizing the sensitivity information of receiver coils to achieve image …
reconstruction model by utilizing the sensitivity information of receiver coils to achieve image …
[HTML][HTML] State of the Art and New Advances: Cardiac MRI
H Frederiksen, C Iorgoveanu… - New Advances in …, 2023 - intechopen.com
Abstract Cardiac Magnetic Resonance Imaging (CMR) is an advanced imaging modality for
better assessment of cardiac structure, function and tissue characterization. This is an …
better assessment of cardiac structure, function and tissue characterization. This is an …
[PDF][PDF] Research on image analysis and processing method based on compressed perception technology
L Wang, H Wang, S He, H Yang - Applied Mathematics and Nonlinear …, 2023 - sciendo.com
This paper analyzes the traditional Shannon-Nyquist sampling theorem, introduces the
process of compressive perception theory and the key techniques of compressive …
process of compressive perception theory and the key techniques of compressive …
[PDF][PDF] Clinical Evaluation of Respiratory-triggered 3D Magnetic Resonance Cholangiopancreatography with Navigator Echoes Compared to Breath-hold Acquisition …
B Das, P Nangdev, KK Daseja… - Pakistan Journal of …, 2022 - scholar.archive.org
Aim: To investigate image quality of respiratory triggered 3D MRCP with compressed
parallel and sensing imaging in clinical setting. Study design: Cross-sectional study …
parallel and sensing imaging in clinical setting. Study design: Cross-sectional study …