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.
|Titolo:||A Generalized SMT-Based Framework for Diffusion MRI Microstructural Model Estimation|
|Data di pubblicazione:||2017|
|Appare nelle tipologie:||04.01 Contributo in atti di convegno|