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

Analysis of MR diffusion weighted images.

G J M Parker1

  • 1Imaging Science and Biomedical Engineering, University of Manchester, Oxford Road, Manchester M13 9PT, UK.

The British Journal of Radiology
|January 29, 2005
PubMed
Summary

Diffusion-weighted imaging (DWI) offers unique insights beyond visual assessment, requiring advanced post-processing. This review covers diffusion tensor models and tractography methods for analyzing white matter connectivity.

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

Multidimensional diffusion MRI with spectrally modulated gradients reveals unprecedented microstructural detail.

Scientific reports·2019
Same author

Delivering Functional Imaging on the MRI-Linac: Current Challenges and Potential Solutions.

Clinical oncology (Royal College of Radiologists (Great Britain))·2018
Same author

Correction to: Volumetric dynamic oxygen-enhanced MRI (OE-MRI): comparison with CT Brody score and lung function in cystic fibrosis patients.

European radiology·2018
Same author

Microstructural imaging of the human brain with a 'super-scanner': 10 key advantages of ultra-strong gradients for diffusion MRI.

NeuroImage·2018
Same author

Volumetric dynamic oxygen-enhanced MRI (OE-MRI): comparison with CT Brody score and lung function in cystic fibrosis patients.

European radiology·2018
Same author

Mitotic Activity in Glioblastoma Correlates with Estimated Extravascular Extracellular Space Derived from Dynamic Contrast-Enhanced MR Imaging.

AJNR. American journal of neuroradiology·2015

Area of Science:

  • Neuroimaging
  • Medical Physics
  • Radiology

Background:

  • Diffusion-weighted MR images (DWI) contain unique information not available through other modalities.
  • Visual interpretation of DWI is limited, necessitating advanced data post-processing techniques.
  • Understanding white matter structure is crucial for diagnosing neurological conditions.

Purpose of the Study:

  • To review methods for interpreting DWI information using diffusion tensor and other signal models.
  • To provide an overview of techniques for estimating white matter fiber tract orientation.
  • To present methods for quantifying anatomical cerebral white matter connectivity.

Main Methods:

  • Interpretation of DWI signals using the diffusion tensor model.
  • Application of advanced computational models for signal analysis.
  • Utilizing tractography algorithms for fiber orientation estimation.
  • Quantifying white matter connectivity based on diffusion metrics.

Main Results:

  • DWI data can be quantitatively analyzed using diffusion tensor modeling.
  • Fiber tract orientation can be reliably estimated from processed DWI data.
  • Methods exist to estimate the routes and degree of white matter connectivity.
  • Advanced post-processing unlocks significant information from DWI.

Conclusions:

  • Diffusion tensor modeling and other DWI analysis techniques are essential for comprehensive interpretation.
  • These methods enable detailed mapping of white matter architecture and connectivity.
  • DWI, when combined with advanced analysis, is a powerful tool for neuroscience research and clinical applications.

Related Experiment Videos