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Abstract #2417

CATERPillar : a fast and flexible framework framework for generating synthetic white matter numerical phantoms

Jasmine Nguyen-Duc1, Ines de Riedmatten1, Melina Cherchali2, Rémy Gardier2, Jonathan Rafael Patiño Lopez2, and Ileana Jelescu1
1CHUV, Lausanne, Switzerland, 2EPFL, Lausanne, Switzerland

Synopsis

Keywords: Simulation/Validation, Software Tools, Phantom

Motivation: Building realistic and complex white matter numerical phantoms is needed for accurate diffusion MRI simulations but challenging to achieve.

Goal(s): The creation of white matter (WM) numerical phantoms by mimicking realisitic parallel axonal growth.

Approach: This tool uses overlapping spheres to build realistic axons and parallels their growth to decrease the running time while reliably preventing collisions.

Results: High intracellular volume fraction values can be reached (up to 70%) for tortuous, variable-caliber axons. The parallelism of the growth decreases the run-time.

Impact: Creating numerical phantoms that accurately represent white matter can improve the accuracy of results in diffusion MRI studies using Monte Carlo simulations.

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Keywords