Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Computed Tomography

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Fabrication of shallow EUV gratings on silicon by irradiation with helium ions.

Nanotechnology·2025

Same author

Predicting the future of our oceans-Evaluating genomic forecasting approaches in marine species.

Global change biology·2024

Same author

A qualitative study on the influence of COVID-19 on smoking behaviors through changing social and physical contexts.

Health education research·2023

Same author

Towards an <i>in situ</i> non-lethal rapid test to accurately detect the presence of the nematode parasite, <i>Anguillicoloides crassus</i>, in European eel, <i>Anguilla anguilla</i>.

Parasitology·2022

Same author

Neutral Processes Dominate Microbial Community Assembly in Atlantic Salmon, <i>Salmo salar</i>.

Applied and environmental microbiology·2020

Same author

Age-dependent effects of moderate differences in environmental predictability forecasted by climate change, experimental evidence from a short-lived lizard (Zootoca vivipara).

Scientific reports·2019

Search research articles

Related Experiment Video

Updated: Jun 26, 2026

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

Monte Carlo-based diffusion tensor tractography with a geometrically corrected voxel-centre connecting method.

N C Bodammer¹, J Kaufmann, M Kanowski

¹Max-Planck Institute for Human Development, Berlin Germany. bodammer@mpib-berlin.mpg.de

Physics in Medicine and Biology

|January 17, 2009

Summary

This study introduces a novel diffusion tensor tractography (DTT) algorithm using voxel centers and orientation probabilities for improved accuracy in mapping brain connectivity. The method demonstrates strong performance on human brain data, enhancing neuronal pathway visualization.

More Related Videos

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Related Experiment Videos

Last Updated: Jun 26, 2026

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Area of Science:

Neuroimaging
Computational Neuroscience
Biomedical Engineering

Background:

Diffusion tensor imaging (DTI) and diffusion tensor tractography (DTT) are crucial for mapping neuronal connectivity.
Existing DTT methods often use continuous coordinates, which can limit precision.

Purpose of the Study:

To develop and validate a novel DTT algorithm utilizing voxel centers and orientation probabilities.
To enhance the accuracy and precision of reconstructing white matter pathways.

Main Methods:

A new tractography algorithm employing voxel centers as vertices and orientation probabilities derived from 2-3 neighboring voxels.
Trajectory propagation rule based on diffusion tensor data.
Validation using synthetic data and application to human brain white matter tracts.

Main Results:

The proposed method, particularly using probabilities from two successor voxels, showed superior precision and accuracy.
A need for probability correction considering acquisition grid geometry in voxel-center-based DTT was identified.
Successful application to human optical radiation, corticospinal tracts, and Broca's/Wernicke's area connections.

Conclusions:

The novel voxel-center-based DTT algorithm offers a more accurate and precise approach to reconstructing neuronal pathways.
The findings highlight the importance of considering acquisition grid geometry for robust tractography.
The method's effectiveness is demonstrated on key human brain white matter tracts.