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Related Experiment Video

Updated: Jun 28, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Automatic deformable diffusion tensor registration for fiber population analysis.

M O Irfanoglu1, R Machiraju, S Sammet

  • 1Computer Sciences and Engineering Department, The Ohio State University, USA. irfanoglu.1@osu.edu

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|November 6, 2008
PubMed
Summary
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We developed a new method for aligning Diffusion Tensor Images (DTI) using geodesic-loxodromes and Multi-Dimensional Scaling (MDS). This technique enables accurate fiber-to-fiber correspondence and DTI-atlas construction in brain imaging.

Area of Science:

  • Medical Imaging
  • Computational Anatomy
  • Diffusion Tensor Imaging Analysis

Background:

  • Diffusion Tensor Imaging (DTI) is crucial for analyzing white matter structure.
  • Accurate registration of DTI data is challenging due to complex white matter architecture.
  • Existing registration methods may not fully capture the intrinsic geometry of diffusion tensors.

Purpose of the Study:

  • To introduce a novel deformable tensor-to-tensor registration method for DTI.
  • To leverage geodesic-loxodromes and Multi-Dimensional Scaling (MDS) for tensor manifold analysis.
  • To improve the accuracy of fiber-to-fiber correspondence and DTI-atlas construction.

Main Methods:

  • Modeling tensor distances using geodesic-loxodromes.
  • Employing Multi-Dimensional Scaling (MDS) to unfold the tensor manifold.

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Diffusion Imaging in the Rat Cervical Spinal Cord
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Last Updated: Jun 28, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation
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Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Published on: May 23, 2017

Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

  • Utilizing a multi-step vector-image registration scheme on MDS-derived vector images.
  • Reorienting tensor fields using the computed deformation fields.
  • Main Results:

    • The proposed method effectively registers deformable tensor fields.
    • Demonstrated suitability for establishing fiber-to-fiber correspondence.
    • Showcased utility in DTI-atlas construction.
    • Validation performed on brain DTI datasets.

    Conclusions:

    • The novel registration method offers a robust approach for DTI analysis.
    • Geodesic-loxodromes and MDS provide a powerful framework for tensor manifold registration.
    • The method enhances capabilities for detailed white matter tractography and atlas-based studies.