HYDI-DSI revisited: constrained non-parametric EAP imaging without q-space re-gridding
|Title||HYDI-DSI revisited: constrained non-parametric EAP imaging without q-space re-gridding|
|Publication Type||Journal Article|
|Year of Publication||2023|
|Authors||Tristán-Vega, A., T. Pieciak, G. París, J. R. Rodríguez-Galván, and S. Aja-Fernández|
|Journal||Medical Image Analysis|
|Keywords||Diffusion Spectrum Imaging, Ensemble Average Propagator, Hybrid Diffusion Imaging, diffusion MRI|
Hybrid Diffusion Imaging (HYDI) was one of the first attempts to use multi-shell samplings of the q-space to infer diffusion properties beyond Diffusion Tensor Imaging (DTI) or High Angular ResolutionDiffusion Imaging (HARDI). HYDI was intended as a flexible protocol embedding both DTI (for lower b-values) and HARDI (for higher b-values) processing, as well as Diffusion Spectrum Imaging (DSI) when the entire data set was exploited. In the latter case, the spherical sampling of the q-space is re-gridded by interpolation to a Cartesian lattice whose extent covers the range of acquired b-values, hence being acquisition-dependent. The Discrete Fourier Transform (DFT) is afterwards used to compute the corresponding Cartesian sampling of the Ensemble Average Propagator (EAP) in an entirely non-parametric way. From this lattice, diffusion markers such as the Return To Origin Probability (RTOP) or the Mean Squared Displacement (MSD) can be numerically estimated.