Results 81 to 90 of about 2,854 (185)
We propose DEMIC, a deep‐learning microstructure codebook framework for dMRI microstructure imaging: (1) accurate multi‐parameter estimation from undersampled data; (2) robust cross‐protocol and cross‐model generalization; and (3) flexible transfer to new microstructural indices via fine‐tuning.
Tenglong Wang +7 more
wiley +1 more source
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu +7 more
wiley +1 more source
Diffusion kurtosis imaging of white matter in bipolar disorder
White matter pathology likely contributes to the pathogenesis of bipolar disorder (BD). Most studies of white matter in BD have used diffusion tensor imaging (DTI), but the advent of more advanced multi-shell diffusion MRI imaging offers the possibility ...
Shakeel, Mohammed K +7 more
core
Identifying subcortical ischemic vascular disease (SIVD) in older adults is important but challenging. Growing evidence suggests that diffusional kurtosis imaging (DKI) can detect SIVD-relevant microstructural pathology, and a systematic assessment of ...
Min-Chien Tu +5 more
doaj +1 more source
A comparative analysis of the two most prevalent diffusion NMR methods for exchange measurements, CG‐PFG and FEXSY. Transmembrane water exchange is measured in yeast cells and porcine optic nerves, before and after fixation. Complementary Monte Carlo simulations are conducted.
Yuval Scher, Shlomi Reuveni, Yoram Cohen
wiley +1 more source
: Diffusion kurtosis imaging (DKI) is a recent imaging method that probes the diffusion of water molecules. Whereas diffusion tensor imaging (DTI) models the diffusion as a 3D Gaussian function, DKI takes it one step further by additionally quantifying ...
Veraart, Jelle, Sijbers, Jan
core
Diffusion Kurtosis imaging: a possible MRI biomarker for AD diagnosis?
The purpose of this explorative study was to investigate whether diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) parameter changes are reliable measures of white matter integrity changes in Alzheimer's disease (AD) patients using a ...
Peters, B +26 more
core +1 more source
We uploaded dataset including apparent diffusion coefficient (ADC), basal signal (S0), pseudo-diffusion coefficient (DP), perfusion fraction (FP), tissue diffusivity (DT) and DKI data (mean of diffusion coefficient (MD) and mean of diffusional Kurtosis ...
Roberta Fusco +10 more
core +1 more source
Accelerated Diffusion Basis Spectrum Imaging With Tensor Computations
We introduce a new framework for accelerated processing of diffusion‐weighted imaging (DWI) data using a machine learning approach to optimize parameter estimation. We demonstrate that this new method, called DBSIpy, significantly improves computational speed and robustness to Rician noise compared to the standard DBSI method, with the improvements ...
Kainen L. Utt +3 more
wiley +1 more source
Diffusion tensor imaging (DTI) is the most commonly used technique to extract microstructural features from a set of diffusion-weighted images. In addition to the metrics obtained with DTI, diffusion kurtosis imaging (DKI) can provide non-Gaussian ...
COLLURA, Giorgio +4 more
core

