TractNet: a deep learning approach on 3D curves for segmenting white matter fibre bundles

K Logiraj, K Thanikasalam… - … on Advances in ICT …, 2021 - ieeexplore.ieee.org
Fibre tractography techniques generate a large number of fibre streamlines that are densely
distributed throughout the brain. These 3D fibre curves are classified into a discrete …

Clustering of major white matter bundles using tract-specific geometric curve features

K Logiraj, S Sotheeswaran… - … on Information and …, 2021 - ieeexplore.ieee.org
The tract-based white matter analysis is an effective framework to study the structural brain
using quantitative parameters of interest along with major fibre bundles. Accurate and …

Probabilistic tractography using Lasso bootstrap

C Ye, JL Prince - Medical image analysis, 2017 - Elsevier
Diffusion magnetic resonance imaging (dMRI) can be used for noninvasive imaging of white
matter tracts. Using fiber tracking, which propagates fiber streamlines according to fiber …

[PDF][PDF] Fractional Anisotropy Brain Changes in Spasticity after Peripheral Injections of Botulin

MA Bertoni, M Sakel, A Hojjatoleslami - Int J Physiatry, 2018 - researchgate.net
Purpose: To assess central fractional anisotropy changes of the white matter in subjects with
spasticity treated with botulin toxin. Materials and Methods: Seven subjects with spasticity …

Estimation of multiple fiber orientations using nonconvex regularized spherical deconvolution

CY Chu, ZX Kuai, YM Zhu - 2017 10th International Congress …, 2017 - ieeexplore.ieee.org
In diffusion magnetic resonance imaging, the fiber tractography generally desires the
estimation of intravoxel multiple fiber orientations (MFOs) with high accuracy and reliability …

Neuroimaging of the Amygdala: Quantitative Mechanistic Approach

MÁ Bertoni - The Amygdala-A Discrete Multitasking Manager, 2012 - books.google.com
Radiology has evolved fantastically since the discovery of X-rays on 8th November 1989,
when William Roentgen amazed the world with a new source of energy, the X rays, capable …