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CACTUS: a computational framework for generating realistic white matter microstructure substrates.

Juan Luis Villarreal-Haro1, Remy Gardier1, Erick J Canales-Rodríguez1

  • 1Signal Processing Laboratory (LTS5), École Polytechnique Frale de Lausanne (EPFL), Lausanne, Switzerland.

Frontiers in Neuroinformatics
|August 21, 2023
PubMed
Summary
This summary is machine-generated.

We developed CACTUS, a new computational method to create realistic white matter models for diffusion MRI simulations. This tool generates complex, high-density substrates, improving the accuracy of diffusion imaging analysis.

Keywords:
Monte-Carlo simulationsbrain imagingdiffusion MRIhigh packing densitymicrostructure imagingnumerical phantomsynthetic substrateswhite matter

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Area of Science:

  • Neuroimaging
  • Computational Biology
  • Biophysics

Background:

  • Monte-Carlo diffusion simulations are crucial for validating diffusion-weighted magnetic resonance imaging (DW-MRI) microstructure models.
  • Accurate simulations depend on synthetic substrates that faithfully represent biological tissue microstructures.
  • Existing methods face limitations in substrate density and complexity, hindering the accurate modeling of white matter properties.

Purpose of the Study:

  • To introduce CACTUS (Computational Axonal Configurator for Tailored and Ultradense Substrates), a novel computational workflow for generating synthetic white matter substrates.
  • To enable the creation of substrates with higher packing density and richer microstructural complexity than previously possible.
  • To improve the development of advanced synthetic substrates for DW-MRI simulations and microstructure imaging research.

Main Methods:

  • CACTUS employs a novel global cost function and a fibre radial growth approach to construct substrates.
  • Generates substrates with high intra-axonal volume fractions (up to 95%) and large voxel sizes (up to 500μm³).
  • Incorporates complex fibre features including angular dispersion, bundle crossings, and variations in axonal radii and g-ratio.

Main Results:

  • CACTUS successfully generates synthetic white matter substrates with unprecedented packing density and microstructural complexity.
  • The generated substrates accurately mirror characteristics reported in histological studies.
  • The workflow allows for tailoring substrates to match predefined targeted microstructural properties.

Conclusions:

  • CACTUS significantly advances the capability to create complex and realistic synthetic white matter substrates for DW-MRI simulations.
  • This novel approach enhances the validation of microstructure models and the optimization of DW-MRI acquisition protocols.
  • CACTUS paves the way for more accurate and robust microstructure imaging research in neuroscience.