Results 121 to 130 of about 372,517 (152)

Probabilistic Neighbourhood Tractography in the Preterm Neonatal Brain

open access: yes, 2013
Anblagan, Devasuda   +10 more
openaire   +1 more source

Probabilistic Tractography

open access: yes
Tractography techniques map white matter bundles in the brain using diffusion magnetic resonance imaging (dMRI) data. These techniques use models to calculate paths where water molecule diffusion is least hindered, assuming these paths approximate the underlying white matter tracts, since diffusion is faster along tracts than across them.
Flavio Dell'Acqua   +2 more
exaly   +4 more sources

Deterministic and Probabilistic Tractography Based on Complex Fibre Orientation Distributions [PDF]

open access: yesIEEE Transactions on Medical Imaging, 2009
We propose an integral concept for tractography to describe crossing and splitting fibre bundles based on the fibre orientation distribution function (ODF) estimated from high angular resolution diffusion imaging (HARDI). We show that in order to perform accurate probabilistic tractography, one needs to use a fibre ODF estimation and not the diffusion ...
Thomas R Knösche   +2 more
exaly   +6 more sources

Probabilistic Tractography Using Lasso Bootstrap [PDF]

open access: yesMedical Image Analysis, 2017
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 orientations (FOs) computed from dMRI, white matter tracts can be reconstructed for investigation of brain diseases and the brain connectome.
Chuyang Ye, Jerry L. Prince
exaly   +4 more sources

Probabilistic Tractography for Topographically Organized Connectomes [PDF]

open access: yesLecture Notes in Computer Science, 2016
While tractography is widely used in brain imaging research, its quantitative validation is highly difficult. Many fiber systems, however, have well-known topographic organization which can even be quantitatively mapped such as the retinotopy of visual pathway.
Yonggang Shi, Dogu Baran Aydogan
exaly   +4 more sources

Structural Connectivity of the Human Massa Intermedia: A Probabilistic Tractography Study [PDF]

open access: yesHuman Brain Mapping, 2021
Abstract The role of massa intermedia (MI) is poorly understood in humans. Recent studies suggest its presence may play a role in normal human neurocognitive function while prior studies have shown the absence of MI correlated with psychiatric disorders.
Sepehr Sani, Mehmet Koçak, Robert Dawe
exaly   +3 more sources

Connectivity-based segmentation of the brainstem by probabilistic tractography [PDF]

open access: possibleBrain Research, 2018
Diffusion magnetic resonance imaging is a non-invasive tool increasingly used for the investigation of brain connectivity in vivo. In this paper we propose a method that allows segmentation of the brainstem to four subregions (frontopontine, motor, sensory and reticular) based on connections to supratentorial structures, thereby eliminating the need ...
Máté Adrienn   +5 more
openaire   +3 more sources

Mapping Connectomes With Diffusion MRI: Deterministic or Probabilistic Tractography? [PDF]

open access: yesMagnetic Resonance in Medicine, 2019
PURPOSE: Human connectomics necessitates high-throughput, whole-brain reconstruction of multiple white matter fiber bundles. Scaling up tractography to meet these high-throughput demands yields new fiber tracking challenges, such as minimizing spurious ...
Tabinda Sarwar   +2 more
exaly   +2 more sources

The Role of Probabilistic Tractography in the Surgical Treatment of Thalamic Gliomas [PDF]

open access: possibleOperative Neurosurgery, 2014
Thalamic gliomas represent a great challenge for neurosurgeons because of the high surgical risk of damaging the surrounding anatomy. Preoperative planning may considerably help the surgeon find the most ideal operative trajectory, avoiding thalamic nuclei and important white matter pathways adjacent to the tumor tissue.
Kis Dávid   +4 more
openaire   +3 more sources

Home - About - Disclaimer - Privacy