Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

7.6K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
7.6K
Diffusion01:12

Diffusion

176.6K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
176.6K

You might also read

Related Articles

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

Sort by
Same author

Neonatal brain-age models in full- and preterm infants.

Developmental cognitive neuroscience·2026
Same author

A combination of ketones and NAD<sup>+</sup> precursor preserves white matter integrity in mild cognitive impairment.

Alzheimer's & dementia (New York, N. Y.)·2026
Same author

Automated Segmentation of Brainstem and Subcortical White Matter: Mapping the Deep Tegmental Core with BundleParc.

bioRxiv : the preprint server for biology·2026
Same author

Disentangling crossing fibers with advanced dMRI methods reveals bundle-specific degeneration across the visual system in asymmetric glaucoma.

PloS one·2026
Same author

Cortical and white matter myelination proceed in concert during early infancy.

Nature communications·2026
Same author

Mapping the structural connections between the anterior cingulate cortex and the insula/ventrolateral prefrontal cortex.

Imaging neuroscience (Cambridge, Mass.)·2026

Related Experiment Video

Updated: May 2, 2026

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
10:33

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

Published on: August 14, 2019

8.2K

Dipy, a library for the analysis of diffusion MRI data.

Eleftherios Garyfallidis1, Matthew Brett2, Bagrat Amirbekian3

  • 1Computer Science Department, University of Sherbrooke Sherbrooke, QC, Canada ; MRC Cognition and Brain Sciences Unit, University of Cambridge Cambridge, UK.

Frontiers in Neuroinformatics
|March 7, 2014
PubMed
Summary

Diffusion Imaging in Python (Dipy) is an open-source software for analyzing diffusion MRI data. It offers tools for brain white matter analysis, including advanced fiber tractography and reconstruction techniques.

Keywords:
DSIDTIHARDIPythondMRIdiffusion MRIfree open source softwaretractography

More Related Videos

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

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

Published on: November 8, 2012

26.0K
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

25.0K

Related Experiment Videos

Last Updated: May 2, 2026

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
10:33

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

Published on: August 14, 2019

8.2K
Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

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

Published on: November 8, 2012

26.0K
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

25.0K

Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Medical Physics

Background:

  • Diffusion magnetic resonance imaging (dMRI) enables the measurement of structural features in brain white matter.
  • Modeling white matter nerve fiber bundles and inferring their trajectories is crucial for understanding brain connectivity.

Purpose of the Study:

  • To introduce Diffusion Imaging in Python (Dipy), a comprehensive open-source software for dMRI analysis.
  • To provide a unified platform for various dMRI data processing and analysis techniques.

Main Methods:

  • Dipy implements diverse dMRI methods, including signal pre-processing, diffusion distribution reconstruction, and fiber tractography.
  • It features classical techniques like diffusion tensor modeling and deterministic tractography.
  • Advanced methods such as constrained spherical deconvolution, diffusion spectrum imaging (DSI), and probabilistic tracking are also included.

Main Results:

  • The software offers transparent implementations with a uniform programming interface for dMRI analysis steps.
  • Includes utility functions for statistics, visualization, and file handling to support novel technique development.
  • Dipy fosters an international, collaborative development environment with contributions from multiple institutions.

Conclusions:

  • Dipy serves as a versatile and accessible tool for researchers in the dMRI field.
  • Its open-source nature and collaborative development model promote innovation and widespread adoption.
  • The project facilitates advanced analysis of brain white matter structure and connectivity.