Meso-Cortical Pathway Damage in Cognition, Apathy, and Gait in Cerebral Small Vessel Disease

Medicine, Neurology, Medical Imaging,
Small Vessel Disease   Cognitive Impairment   Apathy   Gait Dysfunction   Neural Pathways  

Impact of Midbrain-Cortical Pathway Damage on Cognition, Apathy, and Gait in Small Vessel Disease Background and Research Motivation Small Vessel Disease (SVD) is a complex brain disorder mainly involving various pathological changes in small brain vessels, such as White Matter Hyperintensities (WMH), lacunar infarctions, and cerebral microbleeds. ...

Transient Brain Structure Changes After High Phenylalanine Exposure in Adults with Phenylketonuria

Medicine, Pediatrics, Neurology, Medical Imaging,
Phenylketonuria   Surface-based morphometry   Cognition   Intervention   Randomized controlled trial   Recovery  

The Impact of High Phenylalanine Exposure on Brain Structure in Adult Phenylketonuria Patients Background Phenylketonuria (PKU) is a rare hereditary metabolic disorder characterized by a deficiency of phenylalanine hydroxylase, leading to elevated levels of phenylalanine (Phe) in the blood and brain. If Phe levels are not strictly controlled during...

Diffusion Model Optimization with Deep Learning

Diffusion Model Optimization with Deep Learning

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Life Sciences, Biophysics,
deep learning   diffusion model   neural network   microstructural imaging   self-supervised learning  

Dimond: A Study on Optimizing Diffusion Models through Deep Learning Academic Background In brain science and clinical applications, Diffusion Magnetic Resonance Imaging (dMRI) is an essential tool for non-invasively mapping the microstructure and neural connectivity of brain tissue. However, accurately estimating parameters of the diffusion signal...

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...