Diffusion tensor imaging in Alzheimer's disease and mild cognitive impairment
GT Stebbins, CM Murphy - Behavioural neurology, 2009 - content.iospress.com
Structural magnetic resonance imaging (MRI) studies of Alzheimer's disease and mild
cognitive impairment (MCI) have focused on the hippocampus and entorhinal cortex; gray …
cognitive impairment (MCI) have focused on the hippocampus and entorhinal cortex; gray …
Brain imaging of mild cognitive impairment and Alzheimer's disease☆
C Yin, S Li, W Zhao, J Feng - Neural regeneration research, 2013 - journals.lww.com
The rapidly increasing prevalence of cognitive impairment and Alzheimer's disease has the
potential to create a major worldwide healthcare crisis. Structural MRI studies in patients …
potential to create a major worldwide healthcare crisis. Structural MRI studies in patients …
[图书][B] Handbook of neuroimaging data analysis
This book explores various state-of-the-art aspects behind the statistical analysis of
neuroimaging data. It examines the development of novel statistical approaches to model …
neuroimaging data. It examines the development of novel statistical approaches to model …
Spatially varying coefficient model for neuroimaging data with jump discontinuities
Motivated by recent work on studying massive imaging data in various neuroimaging
studies, we propose a novel spatially varying coefficient model (SVCM) to capture the …
studies, we propose a novel spatially varying coefficient model (SVCM) to capture the …
Longitudinal reproducibility of neurite orientation dispersion and density imaging (NODDI) derived metrics in the white matter
N Lehmann, N Aye, J Kaufmann, HJ Heinze, E Düzel… - Neuroscience, 2021 - Elsevier
Diffusion-weighted magnetic resonance imaging (DWI) is undergoing constant evolution
with the ambitious goal of developing in-vivo histology of the brain. A recent methodological …
with the ambitious goal of developing in-vivo histology of the brain. A recent methodological …
Multiscale adaptive regression models for neuroimaging data
Neuroimaging studies aim to analyse imaging data with complex spatial patterns in a large
number of locations (called voxels) on a two-dimensional surface or in a three-dimensional …
number of locations (called voxels) on a two-dimensional surface or in a three-dimensional …
Position-orientation adaptive smoothing of diffusion weighted magnetic resonance data (POAS)
We introduce an algorithm for diffusion weighted magnetic resonance imaging data
enhancement based on structural adaptive smoothing in both voxel space and diffusion …
enhancement based on structural adaptive smoothing in both voxel space and diffusion …
Morphological and linear scale spaces for fiber enhancement in DW-MRI
We consider morphological and linear scale spaces on the space ℝ 3⋊ S 2 of 3D positions
and orientations naturally embedded in the group SE (3) of 3D rigid body movements. The …
and orientations naturally embedded in the group SE (3) of 3D rigid body movements. The …
Gaussian modeling of the diffusion signal
DK Jones - diffusion MRI, 2014 - Elsevier
Abstracts This chapter provides a very basic introduction to the concept of diffusion MRI as a
probe of tissue microstructure. The concept of Gaussian diffusion is explored and the effect …
probe of tissue microstructure. The concept of Gaussian diffusion is explored and the effect …
Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data
Many large-scale longitudinal imaging studies have been or are being widely conducted to
better understand the progress of neuropsychiatric and neurodegenerative disorders and …
better understand the progress of neuropsychiatric and neurodegenerative disorders and …