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 Experiment Videos

DtiStudio: resource program for diffusion tensor computation and fiber bundle tracking.

Hangyi Jiang1, Peter C M van Zijl, Jinsuh Kim

  • 1Department of Radiology, Johns Hopkins University, School of Medicine, 217 Traylor Building, 720 Rutland Avenue, Baltimore, MD 21205, USA.

Computer Methods and Programs in Biomedicine
|January 18, 2006
PubMed
Summary

A new software program enables efficient diffusion tensor imaging (DTI) computation and fiber tracking from various MRI scanner data. It offers advanced visualization and reconstruction for detailed brain connectivity analysis.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Associations of social and genetic background variables to neuro-cognitive biomarkers of psychosis.

Biomarkers in neuropsychiatry·2026
Same author

Behavioral Inhibition Network Predicts Alcohol Use in Men and Stress in Women.

Journal of studies on alcohol and drugs·2026
Same author

Family-Level Brain Pattern Similarities and Their Clinical Significance in Young Offspring of Individuals With Psychotic Disorders.

Biological psychiatry. Cognitive neuroscience and neuroimaging·2026
Same author

Premorbid adjustment problems, negative symptoms, and cognitive impairment in a large international sample at clinical high risk for psychosis: Findings from the Accelerating Medicines Partnership-Schizophrenia.

Schizophrenia bulletin·2026
Same author

Cubic Millimeter High Resolution 3D Inner-Volume GRASE (IV-GRASE) CEST MRI Using T<sub>1</sub>-Integrated Variable Density CAIPI Sampling With Temporal Random Walk: A Feasibility Study.

Magnetic resonance in medicine·2026
Same author

Brain functional network connectivity interpolation characterizes the neuropsychiatric continuum and heterogeneity.

Imaging neuroscience (Cambridge, Mass.)·2026

Area of Science:

  • Medical Imaging
  • Neuroscience
  • Computational Biology

Background:

  • Diffusion Tensor Imaging (DTI) is crucial for visualizing white matter tracts.
  • Existing software may lack versatility or efficiency in processing DTI data.
  • Accurate fiber tracking is essential for understanding brain connectivity.

Purpose of the Study:

  • To develop a versatile and efficient software program for DTI computation and fiber tracking.
  • To enable processing of data from diverse MR scanners.
  • To provide advanced visualization and reconstruction capabilities.

Main Methods:

  • Implemented tensor calculation using least square fitting on over-determined linear equation systems.
  • Utilized the Fiber Assignment by Continuous Tracking (FACT) algorithm with a rapid approach for 3D tract reconstruction.

Related Experiment Videos

  • Introduced an index matrix for efficient fiber bundle selection using multiple regions of interest (ROIs).

    • Main Results:

    • The software successfully computes various DTI map data, including tensor elements, eigenvalues, eigenvectors, and diffusion anisotropy.
    • Interactive visualization in orthogonal and 3D views aids in data interpretation.
    • Efficient 3D tract reconstruction and ROI-based fiber bundle selection were achieved.

    Conclusions:

    • The developed program provides a versatile and efficient platform for DTI analysis.
    • It supports a wide range of DTI computations and advanced fiber tracking.
    • This tool enhances the study of brain white matter structure and connectivity.