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

Distortion correction and robust tensor estimation for MR diffusion imaging.

J-F Mangin1, C Poupon, C Clark

  • 1Service Hospitalier Frédéric Joliot, CEA, 91401 Orsay, France. mangin@shfj.cea.fr

Medical Image Analysis
|September 25, 2002
PubMed
Summary
This summary is machine-generated.

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

Benign functional anorectal conditions: a multi-centre analysis of rectal stump symptomatology in patients undergoing stoma formation.

Techniques in coloproctology·2026
Same author

Chronic activation of the small-conductance, calcium-activated potassium channel precipitates age-dependent depressive-like behavior and cognitive deficits and reduces klotho concentration.

Neuroscience applied·2025
Same author

Hippocampal microstructural changes following electroconvulsive therapy in severe depression.

Molecular psychiatry·2025
Same author

Antiprotons and Elementary Particles over a Solar Cycle: Results from the Alpha Magnetic Spectrometer.

Physical review letters·2025
Same author

Solar Modulation of Cosmic Nuclei over a Solar Cycle: Results from the Alpha Magnetic Spectrometer.

Physical review letters·2025
Same author

Mechanical circulatory support as a bridge to delivery in a pregnant patient with dilated cardiomyopathy and acute heart failure: a case report.

International journal of obstetric anesthesia·2024
Same journal

ContiMorph: An unsupervised learning framework for cardiac motion tracking with time-continuous diffeomorphism.

Medical image analysis·2026
Same journal

MedP-CLIP: Medical CLIP with region-aware prompt integration.

Medical image analysis·2026
Same journal

Multi-organ guided diagnosis of mild cognitive impairment via hierarchical alignment and knowledge distillation.

Medical image analysis·2026
Same journal

SUDA: Simultaneous unsupervised knowledge distillation and adaptation of foundation models for efficient pathological image analysis.

Medical image analysis·2026
Same journal

Beyond the LUMIR challenge: The pathway to foundational registration models.

Medical image analysis·2026
Same journal

Annotation-efficient medical image segmentation via cross-latent graphs and vector-quantized memory.

Medical image analysis·2026
See all related articles

This study introduces an improved method for diffusion tensor imaging, correcting for distortions and reducing artifacts to enhance diffusion map quality.

Area of Science:

  • Medical Imaging
  • Neuroimaging
  • Diffusion Tensor Imaging

Background:

  • Diffusion-weighted imaging (DWI) is crucial for understanding tissue microstructure.
  • Eddy currents and outliers can introduce artifacts in diffusion tensor estimation.
  • Accurate diffusion tensor estimation is vital for reliable neuroimaging analysis.

Purpose of the Study:

  • To develop a novel procedure for accurate diffusion tensor estimation from DWI.
  • To address and correct for eddy-current induced distortions in DWI.
  • To mitigate outlier-related artifacts in diffusion tensor imaging.

Main Methods:

  • A two-step procedure involving distortion correction and robust estimation.
  • Eddy-current distortion correction using mutual information maximization.

Related Experiment Videos

  • Application of the Geman-McLure M-estimator to reduce outlier influence.

    • Main Results:

    • The proposed procedure significantly improves the quality of diffusion maps.
    • Accurate estimation of geometric distortion parameters was achieved.
    • Reduced impact of outliers led to more reliable tensor estimates.

    Conclusions:

    • The novel procedure enhances the accuracy and reliability of diffusion tensor estimation.
    • This method offers improved diffusion-weighted image analysis for neuroimaging.
    • The findings contribute to more precise diffusion map generation.