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

Seamless warping of diffusion tensor fields.

Dongrong Xu1, Xuejun Hao, Ravi Bansal

  • 1MRI Unit, Columbia University Department of Psychiatry, and New York State Psychiatric Institute, Unit 74, New York, NY 10032, USA. dx2103@columbia.edu

IEEE Transactions on Medical Imaging
|March 13, 2008
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

Early-Life Cumulative Intake of Ultra-Processed Foods and Subcortical Brain Volume at Age Six Years: A Prospective Cohort Study.

The American journal of clinical nutrition·2026
Same author

A Pragmatic SMART Study of Medication and CBT Sequencing in Pediatric Anxiety Disorders: A Randomized Clinical Trial.

The American journal of psychiatry·2026
Same author

ADHD medications and preadolescent brain structure: patterns of cortical attenuation from the ABCD study.

Scientific reports·2026
Same author

Adult Misuse of ADHD Stimulant Medication in the United States: A Rapid Review.

Journal of clinical psychopharmacology·2026
Same author

Effects of antidepressant medications on brain tissue microstructure in persistent depressive disorder across two randomized controlled trials.

NeuroImage. Clinical·2026
Same author

Neonatal Cerebrovascular Stability Index and Oxygenation With 3-Month Neurodevelopmental Outcomes.

JACC. Advances·2026
Same journal

Physiology-guided Self-supervised Learning for Simultaneous Dual-Tracer PET Separation.

IEEE transactions on medical imaging·2026
Same journal

Informed-Exploration Reinforcement Learning for Automated Virtual Coronary Intervention Planning.

IEEE transactions on medical imaging·2026
Same journal

4D Reconstruction of Fetal Left Ventricle from Echocardiography via 2.5D Radial Segmentation and Graph-Fourier Reconstruction.

IEEE transactions on medical imaging·2026
Same journal

Generalised Medical Phrase Grounding.

IEEE transactions on medical imaging·2026
Same journal

EndoLRMGS: Combining Large Reconstruction Modelling and Gaussian Splatting for Complete Endoscopic Scene Reconstruction.

IEEE transactions on medical imaging·2026
Same journal

A Neural-Analytical Fusion Scatter Correction Method for Multi-Source CT Using Equivalent High-Order Scatter.

IEEE transactions on medical imaging·2026
See all related articles

Accurate diffusion tensor (DT) field warping requires reorienting tensors using local deformation and fiber orientation. A novel bijective method ensures seamless warping and accurate tensor reorientation in template space for improved DT imaging analysis.

Area of Science:

  • Medical Imaging
  • Computational Neuroscience
  • Image Processing

Background:

  • Diffusion tensor (DT) field warping is crucial for accurate spatial normalization in medical imaging.
  • Existing forward mapping methods can introduce artifacts due to large deformations.
  • Backward mapping avoids artifacts but cannot reorient tensors in the target space.

Purpose of the Study:

  • To develop a novel method for accurate spatial normalization of diffusion tensor fields.
  • To overcome limitations of existing forward and backward mapping techniques.
  • To ensure seamless warping and correct tensor reorientation in template space.

Main Methods:

  • Proposed a novel method utilizing a bijection for seamless DT field warping between image spaces.

Related Experiment Videos

  • Implemented a Procrustean estimation-based warping method for tensor reorientation.
  • Combined advantages of forward and backward mapping for robust spatial normalization.

    • Main Results:

    • The proposed bijective method enables seamless warping of DT datasets.
    • Tensors are accurately reoriented in the template space post-warping.
    • Artifacts associated with large deformations are minimized.

    Conclusions:

    • The novel bijective warping method provides accurate spatial normalization of DT fields.
    • This approach enhances the reliability of DT imaging analysis by preserving tensor orientation.
    • The method effectively combines seamless warping with precise tensor reorientation.