Synopsis The DIAMOND model has been recently proposed to model the heterogeneity of tissue compartments in di삨煍usion compartment imaging. However, it did not enable the characterization of the intra-axonal volume fraction (IAVF), a critical measure to more accurately characterizing axonal loss in abnormal tissues. In this work we investigated mathematical extensions to DIAMOND that model both t...

Advances in biophysical multi-compartment modeling for diffusion MRI (dMRI) have gained popularity because of greater specificity than DTI in relating the dMRI signal to underlying cellular microstructure. A large range of these diffusion microstructure models have been developed and each of the popular models comes with its own, often different, optimization algorithm, noise model and initiali...

Target audience: Researchers in the field of diffusion weighted magnetic resonance imaging interested in new tractography methods. Purpose: This work develops a tractography algorithm to leverage fibre dispersion estimates derived from fitting parametric models of orientation dispersion to diffusion data. Tractography techniques are powerful tools to probe white matter (WM) connectivity non-inv...

Target audience: MRI Physicists, MRI scientists interested in diffusion imaging, Neuroscientists, Clinicians whose researches focus on brain imaging. Purpose Advanced diffusion weighted imaging (DWI) has been used widely to assess the integrity of white matter (WM) and to measure the directional information of WM fiber tracts. Because the diffusion signals are attenuated MR signals from the dif...