Self-Supervised Deep Learning-Based Denoising for Diffusion Tensor MRI

Self-Supervised Deep Learning-Based Denoising for Diffusion Tensor MRI

Medicine, Medical Imaging, Life Sciences, Bioengineering,
self-supervised learning   deep learning   convolutional neural network   diffusion tensor imaging   denoising  

Background Introduction Diffusion Tensor Magnetic Resonance Imaging (DTI) is a widely used neuroimaging technique for imaging the microstructure of brain tissues and white matter tracts. However, noise in Diffusion-Weighted Images (DWI) can reduce the accuracy of microstructural parameters derived from DTI data and also necessitate longer acquisiti...

DeepDTI: High-Fidelity Six-Direction Diffusion Tensor Imaging Using Deep Learning

DeepDTI: High-Fidelity Six-Direction Diffusion Tensor Imaging Using Deep Learning

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Life Sciences, Biophysics,
diffusion tensor imaging   diffusion tractography   tract-specific analysis   deep learning   residual learning   convolutional neural network   data redundancy  

DeepDTI: High-Fidelity Six-Direction Diffusion Tensor Imaging Using Deep Learning Research Background and Motivation Diffusion Tensor Imaging (DTI) boasts unparalleled advantages in mapping the microstructure and structural connectivity of live human brain tissue. However, traditional DTI techniques require extensive angular sampling, leading to pr...

Neurophysiological Features of STN LFP Underlying Sleep Fragmentation in Parkinson's Disease

Neurophysiological Features of STN LFP Underlying Sleep Fragmentation in Parkinson's Disease

Medicine, Neurology,
Parkinson's disease   local field potential   sleep fragmentation   subthalamic nucleus   beta oscillation  

Parkinson’s Disease (PD) is a neurodegenerative disease primarily characterized by dopaminergic neuron damage. Aside from causing motor disorders, over 80% of Parkinson’s disease patients also suffer from sleep disorders. Fragmented sleep is a common type of sleep disturbance among PD patients. It is associated not only with sleep maintenance insom...

Routine CSF parameters as predictors of disease course in multiple sclerosis: an MSBase cohort study

Medicine, Neurology, Life Sciences, Immunology,
cerebrospinal fluid   multiple sclerosis   prognosis   disability   relapse rate  

Research Report: Predictive Role of Cerebrospinal Fluid Routine Parameters in the Disease Process of Multiple Sclerosis Background Multiple Sclerosis (MS) is characterized by a highly variable and unpredictable disease course. In the diagnosis of MS, cerebrospinal fluid (CSF) analysis is often a standard procedure. However, there has been ongoing d...

Nigrostriatal blood-brain barrier opening in Parkinson's disease

Nigrostriatal blood-brain barrier opening in Parkinson's disease

Medicine, Neurology,
Parkinson's disease   blood-brain barrier   focused ultrasound   substance delivery   neuroprotection  

The Opening of the Blood-Brain Barrier in the Nigrostriatal System in Parkinson’s Disease Research Background Parkinson’s disease is a neurodegenerative disorder characterized by the gradual degeneration of dopaminergic neurons in the substantia nigra pars compacta, leading to impaired dopaminergic transmission in the striatum. Currently, there are...

Oral corticosteroid dosage and taper duration at onset in myelin oligodendrocyte glycoprotein antibody-associated disease influences time to first relapse

Medicine, Rheumatology and Immunology, Neurology,
Myelin oligodendrocyte glycoprotein antibody-associated disease   Oral corticosteroids   Time to relapse   Dosage   Taper duration  

This is a multicenter retrospective cohort study on the impact of oral corticosteroid dosage and tapering duration on the time to first relapse in patients with initial presentation of Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease (MOGAD). Background: MOGAD is a unique antibody-associated demyelinating disease. In both children an...