Analytical Fiber ODF Reconstruction in 3D Polarized Light Imaging: Performance Assessment

Abib Alimi (1) , Samuel Deslauriers-Gauthier (1) , Felix Matuschke (2) , Daniel Schmitz (2) , Markus Axer (2) , Rachid Deriche (1)

1 ATHENA - Computational Imaging of the Central Nervous System
2 INM-1 - Institute of Neuroscience and Medicine [Jülich]

Three dimensional Polarized Light Imaging (3D-PLI) allows to map the spatial fiber structure of postmortem tissue at a sub-millimeter resolution, thanks to its birefringence property. Different methods have been recently proposed to reconstruct the fiber orientation distribution function (fODF) from high-resolution vector data provided by 3D-PLI. Here, we focus on the analytical fODF computation approach, which uses the spherical harmonics to represent the fODF and analytically computes the spherical harmonics coefficients via the spherical Fourier transform. This work deals with the assessment of the performance of this approach on rich synthetic data which simulates the geometry of the neuronal fibers and on human brain dataset. A computational complexity and robustness to noise analysis demonstrate the interest and great potential of the approach.

Mots clés: Fiber orientation distribution function ODF; 3D-PLI; Polarized light imaging; Analytical method; Spherical harmonics; Spherical Fourier transformation

Domaines: Traitement du signal et de l'image [eess.SP]; Imagerie médicale

Abib Alimi, Samuel Deslauriers-Gauthier, Felix Matuschke, Daniel Schmitz, Markus Axer, et al.. Analytical Fiber ODF Reconstruction in 3D Polarized Light Imaging: Performance Assessment. ISBI 2019 - IEEE International Symposium on Biomedical Imaging, Apr 2019, Venice, Italy. ⟨hal-01988262⟩