[HTML][HTML] CTtrack: a CNN+ Transformer-based framework for fiber orientation estimation & tractography
SMH Hosseini, M Hassanpour, S Masoudnia… - Neuroscience …, 2022 - Elsevier
In recent years, multiple data-driven fiber orientation distribution function (fODF) estimation
algorithms and automatic tractography pipelines have been proposed to address the …
algorithms and automatic tractography pipelines have been proposed to address the …
[HTML][HTML] Learning to estimate the fiber orientation distribution function from diffusion-weighted MRI
Estimation of white matter fiber orientation distribution function (fODF) is the essential first
step for reliable brain tractography and connectivity analysis. Most of the existing fODF …
step for reliable brain tractography and connectivity analysis. Most of the existing fODF …
Diffusion MRI fiber orientation distribution function estimation using voxel-wise spherical U-net
Abstract Diffusion Magnetic Resonance Imaging (dMRI) is an imaging technique which
enables analysis of the brain tissue at a microscopic scale, particularly the analysis of white …
enables analysis of the brain tissue at a microscopic scale, particularly the analysis of white …
[HTML][HTML] Enhancing the estimation of fiber orientation distributions using convolutional neural networks
Local fiber orientation distributions (FODs) can be computed from diffusion magnetic
resonance imaging (dMRI). The accuracy and ability of FODs to resolve complex fiber …
resonance imaging (dMRI). The accuracy and ability of FODs to resolve complex fiber …
Recovering high‐quality fiber orientation distributions from a reduced number of diffusion‐weighted images using a model‐driven deep learning architecture
JJ Bartlett, CE Davey, LA Johnston… - Magnetic Resonance in …, 2024 - Wiley Online Library
Purpose The aim of this study was to develop a model‐based deep learning architecture to
accurately reconstruct fiber orientation distributions (FODs) from a reduced number of …
accurately reconstruct fiber orientation distributions (FODs) from a reduced number of …
A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRI
Diffusion-weighted (DW) 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 …
in every voxel through its spectrum in q-space, typically acquired in one or more shells …
Deeptract: A probabilistic deep learning framework for white matter fiber tractography
I Benou, T Riklin Raviv - … Conference, Shenzhen, China, October 13–17 …, 2019 - Springer
We present DeepTract, a deep-learning framework for estimating white matter fibers
orientation and streamline tractography. We adopt a data-driven approach for fiber …
orientation and streamline tractography. We adopt a data-driven approach for fiber …
Asymmetric fiber trajectory distribution estimation using streamline differential equation
Fiber orientation distribution estimation with diffusion magnetic resonance imaging (dMRI) is
critical in white matter fiber tractography which is most commonly based on symmetric …
critical in white matter fiber tractography which is most commonly based on symmetric …
Fingerprinting Orientation Distribution Functions in diffusion MRI detects smaller crossing angles
Diffusion tractography is routinely used to study white matter architecture and brain
connectivity in vivo. A key step for successful tractography of neuronal tracts is the correct …
connectivity in vivo. A key step for successful tractography of neuronal tracts is the correct …
Fast learning of fiber orientation distribution function for MR tractography using convolutional neural network
Purpose In diffusion‐weighted magnetic resonance imaging (DW‐MRI), the fiber orientation
distribution function (fODF) is of great importance for solving complex fiber configurations to …
distribution function (fODF) is of great importance for solving complex fiber configurations to …