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Updated: Jul 17, 2026

Diffusion Tensor Magnetic Resonance Imaging in Chronic Spinal Cord Compression
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Diffusion Tensor Magnetic Resonance Imaging in Chronic Spinal Cord Compression

Published on: May 7, 2019

Techniques for automatic spinal cord histology characterization for validation of diffusion tensor imaging.

F Golabchi1, W Hoge, H Mamata

  • 1Department of Electrical and Computer Engineering, Northeastern University, MA, USA.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 3, 2007
PubMed
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This study introduces automated algorithms for analyzing spinal cord histology. These methods validate diffusion tensor magnetic resonance (DT-MR) measurements against tissue slices, improving accuracy.

Area of Science:

  • Neuroimaging
  • Histology
  • Biomedical Engineering

Background:

  • Diffusion tensor magnetic resonance (DT-MR) imaging is crucial for neuroscience.
  • Validating DT-MR measurements against histological data is an ongoing challenge.
  • Current validation methods rely on manual, visual correlation, which is time-consuming and subjective.

Purpose of the Study:

  • To develop and present algorithms for the automated analysis of spinal cord histology slices.
  • To enable accurate discrimination between different fiber orientations within the spinal cord.
  • To provide a method for validating DT-MR derived metrics like angular direction, anisotropy, and eigenvalues.

Main Methods:

  • Utilized Fourier and morphological operators for image analysis.

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Last Updated: Jul 17, 2026

Diffusion Tensor Magnetic Resonance Imaging in Chronic Spinal Cord Compression
07:00

Diffusion Tensor Magnetic Resonance Imaging in Chronic Spinal Cord Compression

Published on: May 7, 2019

Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

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

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  • Developed algorithms to automatically process and analyze spinal cord histology slices.
  • Implemented methods to differentiate fiber-dominated regions based on orientation.

    • Main Results:

    • Algorithms accurately discriminate between regions with in-plane caudal-cranial and in-plane axial fibers.
    • The automated analysis successfully validates DT-MR estimates.
    • Quantitative validation of angular direction, anisotropy, and relative eigenvalues is achieved.

    Conclusions:

    • Automated analysis of spinal cord histology using Fourier and morphological operators is feasible.
    • This approach offers an objective and efficient method for validating DT-MR measurements.
    • The developed algorithms enhance the reliability and accuracy of neuroimaging studies.