Diusion Magnetic Resonance Imaging (DMRI) has been widely used to characterize the principal directions of white matter bers, also known as ber Orientation Distribution Function (fODF), and ax- onal density in brain tissues. Recently, dierent multi-compartment models have been proposed allow- ing the joint estimation of both the fODF and axonal densities following dierent approaches. In this work, the problem has been cast in a uni- ed framework using the Spherical Mean Technique (SMT), where the presence of multiple compartments is accounted for and the fODF is ex- pressed in a parametric form allowing the estimation of the whole set of parameters. In this formulation, the fODF is expressed by its Spherical Harmonics (SH) representation and dierent multi-compartment models can be easily plugged in, enabling a structured and simple comparison of the respective performance.

A Generalized SMT-Based Framework for Diffusion MRI Microstructural Model Estimation

Zucchelli, Mauro;MENEGAZ, Gloria
2017-01-01

Abstract

Diusion Magnetic Resonance Imaging (DMRI) has been widely used to characterize the principal directions of white matter bers, also known as ber Orientation Distribution Function (fODF), and ax- onal density in brain tissues. Recently, dierent multi-compartment models have been proposed allow- ing the joint estimation of both the fODF and axonal densities following dierent approaches. In this work, the problem has been cast in a uni- ed framework using the Spherical Mean Technique (SMT), where the presence of multiple compartments is accounted for and the fODF is ex- pressed in a parametric form allowing the estimation of the whole set of parameters. In this formulation, the fODF is expressed by its Spherical Harmonics (SH) representation and dierent multi-compartment models can be easily plugged in, enabling a structured and simple comparison of the respective performance.
2017
Diffusion MRI, SMT, microstructure
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/966992
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