Deep learning for image enhancement and correction in magnetic resonance imaging—state-of-the-art and challenges
Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast for clinical
diagnoses and research which underpin many recent breakthroughs in medicine and …
diagnoses and research which underpin many recent breakthroughs in medicine and …
Applications of deep learning to neuro-imaging techniques
Many clinical applications based on deep learning and pertaining to radiology have been
proposed and studied in radiology for classification, risk assessment, segmentation tasks …
proposed and studied in radiology for classification, risk assessment, segmentation tasks …
Brain MRI super-resolution using coupled-projection residual network
Abstract Magnetic Resonance Imaging (MRI) has been widely used in clinical application
and pathology research to help doctors provide better diagnoses. However, accurate …
and pathology research to help doctors provide better diagnoses. However, accurate …
Automated generation of cerebral blood flow and arterial transit time maps from multiple delay arterial spin‐labeled MRI
Purpose Develop and evaluate a deep learning approach to estimate cerebral blood flow
(CBF) and arterial transit time (ATT) from multiple post‐labeling delay (PLD) ASL MRI …
(CBF) and arterial transit time (ATT) from multiple post‐labeling delay (PLD) ASL MRI …
Dimensionality reduction methods for brain imaging data analysis
The past century has witnessed the grand success of brain imaging technologies, such as
electroencephalography and magnetic resonance imaging, in probing cognitive states and …
electroencephalography and magnetic resonance imaging, in probing cognitive states and …
Combined denoising and suppression of transient artifacts in arterial spin labeling MRI using deep learning
PW Hales, J Pfeuffer, CA Clark - Journal of Magnetic …, 2020 - Wiley Online Library
Background Arterial spin labeling (ASL) is a useful tool for measuring cerebral blood flow
(CBF). However, due to the low signal‐to‐noise ratio (SNR) of the technique, multiple …
(CBF). However, due to the low signal‐to‐noise ratio (SNR) of the technique, multiple …
Dual independent pathway‐densely connected residual network with dilated convolution‐based arterial spin labeling MRI image reconstruction with minimum label …
Arterial spin labeling (ASL) is a non‐invasive MRI technique widely used to measure
cerebral blood flow (CBF), but it suffers from poor SNR, requiring the acquisition of a large …
cerebral blood flow (CBF), but it suffers from poor SNR, requiring the acquisition of a large …
Deep-ASL enhancement technique in arterial spin labeling MRI–A novel approach for the error reduction of partial volume correction technique with linear regression …
Abstract Arterial Spin Labelling MRI is a noninvasive quantitative imaging technique for
measuring Cerebral Blood Flow (CBF) that plays a vital role in diagnosing different …
measuring Cerebral Blood Flow (CBF) that plays a vital role in diagnosing different …
Patch tensor decomposition and non-local means filter-based hybrid ASL image denoising
G He, T Lu, H Li, J Lu, H Zhu - Journal of Neuroscience Methods, 2022 - Elsevier
Background Arterial spin labeling magnetic resonance imaging (ASL MRI) is a noninvasive
technique to measure cerebral blood flow (CBF). It is widely used in the study of …
technique to measure cerebral blood flow (CBF). It is widely used in the study of …
Accelerated 3D myelin water imaging using joint spatio‐temporal reconstruction
Purpose To enable acceleration in 3D multi‐echo gradient echo (mGRE) acquisition for
myelin water imaging (MWI) by combining joint parallel imaging (JPI) and joint deep …
myelin water imaging (MWI) by combining joint parallel imaging (JPI) and joint deep …