“MASSIVE” brain dataset: Multiple acquisitions for standardization of structural imaging validation and evaluation
Purpose In this work, we present the MASSIVE (Multiple Acquisitions for Standardization of
Structural Imaging Validation and Evaluation) brain dataset of a single healthy subject …
Structural Imaging Validation and Evaluation) brain dataset of a single healthy subject …
Quantification of anisotropy and fiber orientation in human brain histological sections
MD Budde, J Annese - Frontiers in integrative neuroscience, 2013 - frontiersin.org
Diffusion weighted imaging (DWI) has provided unparalleled insight into the microscopic
structure and organization of the central nervous system. Diffusion tensor imaging (DTI) and …
structure and organization of the central nervous system. Diffusion tensor imaging (DTI) and …
[HTML][HTML] Gradient waveform design for tensor-valued encoding in diffusion MRI
Diffusion encoding along multiple spatial directions per signal acquisition can be described
in terms of a b-tensor. The benefit of tensor-valued diffusion encoding is that it unlocks …
in terms of a b-tensor. The benefit of tensor-valued diffusion encoding is that it unlocks …
High‐resolution microscopic diffusion anisotropy imaging in the human hippocampus at 3T
Purpose Several neurological conditions are associated with microstructural changes in the
hippocampus that can be observed using DWI. Imaging studies often use protocols with …
hippocampus that can be observed using DWI. Imaging studies often use protocols with …
[HTML][HTML] Diffusion MRI harmonization enables joint-analysis of multicentre data of patients with cerebral small vessel disease
Objectives Acquisition-related differences in diffusion magnetic resonance imaging (dMRI)
hamper pooling of multicentre data to achieve large sample sizes. A promising solution is to …
hamper pooling of multicentre data to achieve large sample sizes. A promising solution is to …
Diffusion MRI signal augmentation: from single shell to multi shell with deep learning
Abstract High Angular Resolution Diffusion Imaging makes it possible to capture information
about the course and location of complex fiber structures in the human brain. Ideally, multi …
about the course and location of complex fiber structures in the human brain. Ideally, multi …
Fast qualitY conTrol meThod foR derIved diffUsion Metrics (YTTRIUM) in big data analysis: UK Biobank 18,608 example
II Maximov, D van Der Meer… - Human brain …, 2021 - Wiley Online Library
Deriving reliable information about the structural and functional architecture of the brain in
vivo is critical for the clinical and basic neurosciences. In the new era of large population …
vivo is critical for the clinical and basic neurosciences. In the new era of large population …
[HTML][HTML] A unified filtering method for estimating asymmetric orientation distribution functions
C Poirier, M Descoteaux - NeuroImage, 2024 - Elsevier
Numerous filtering methods have been proposed for estimating asymmetric orientation
distribution functions (ODFs) for diffusion magnetic resonance imaging (dMRI). It can be …
distribution functions (ODFs) for diffusion magnetic resonance imaging (dMRI). It can be …
Learning Compact -Space Representations for Multi-Shell Diffusion-Weighted MRI
D Christiaens, L Cordero-Grande… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Diffusion-weighted MRI measures the direction and scale of the local diffusion process in
every voxel through its spectrum in q-space, typically acquired in one or more shells. Recent …
every voxel through its spectrum in q-space, typically acquired in one or more shells. Recent …
Diffusion tensor and restriction spectrum imaging reflect different aspects of neurodegeneration in Parkinson's disease
TR Hope, P Selnes, I Rektorová, L Anderkova… - PLoS …, 2019 - journals.plos.org
To meet the need for Parkinson's disease biomarkers and evidence for amount and
distribution of pathological changes, MRI diffusion tensor imaging (DTI) has been explored …
distribution of pathological changes, MRI diffusion tensor imaging (DTI) has been explored …