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Diffusion Tensor Magnetic Resonance Imaging in Chronic Spinal Cord Compression
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SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data.

Benjamin De Leener1, Simon Lévy2, Sara M Dupont1

  • 1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.

Neuroimage
|October 11, 2016
PubMed
Summary
This summary is machine-generated.

Researchers developed the Spinal Cord Toolbox (SCT), a new software for processing spinal cord MRI data. This tool standardizes analysis, aiding multi-center studies and advancing understanding of spinal cord conditions.

Keywords:
AtlasMRIOpen-sourceSoftwareSpinal cordTemplate

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Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Medical Image Analysis

Background:

  • Neuroimaging software for brain MRI processing is well-established, aiding research and clinical applications.
  • No integrated software exists for processing spinal cord multi-parametric MRI (mpMRI) data, hindering research and multi-center studies.
  • Existing specialized tools for spinal cord MRI lack a unified framework, limiting community-wide adoption and validation.

Purpose of the Study:

  • Introduce the Spinal Cord Toolbox (SCT), a comprehensive software for spinal cord MRI data processing.
  • Provide an integrated framework for spinal cord MRI analysis, promoting standardization and community-wide use.
  • Facilitate cross-validation and multi-center studies in spinal cord neuroimaging.

Main Methods:

  • Developed SCT based on validated methods, incorporating state-of-the-art spinal cord MRI templates and atlases.
  • Integrated algorithms for segmentation and registration of new MRI data to templates.
  • Included motion correction methods for diffusion and functional MRI time series.

Main Results:

  • SCT offers a standardized and automated processing pipeline for spinal cord MRI.
  • The software is versatile and modular, adhering to software development best practices.
  • Preliminary applications demonstrate SCT's utility in large-scale patient data analysis and precise quantification of spinal pathways.

Conclusions:

  • SCT provides a comprehensive solution for spinal cord MRI data processing.
  • The toolbox is expected to unify the spinal cord neuroimaging community through standard templates and analysis procedures.
  • SCT will advance research in various spinal cord conditions, including multiple sclerosis and spinal cord injury.