biostudies-literatureParis GNarodowa Agencja Wymiany AkademickiejMinisterio de Ciencia e Innovación440-453https://www.ebi.ac.uk/biostudies/studies/S-EPMC9826470biostudies-literatureUnknown89(1)<h4>Purpose</h4>We seek to reformulate the so-called Propagator Anisotropy (PA) and Non-Gaussianity (NG), originally conceived for the Mean Apparent Propagator diffusion MRI (MAP-MRI), to the Micro-Structure adaptive convolution kernels and dual Fourier Integral Transforms (MiSFIT). These measures describe relevant normalized features of the Ensemble Average Propagator (EAP).<h4>Theory and methods</h4>First, the indices, which are defined as the EAP's dissimilarity from an isotropic (PA) or a Gaussian (NG) one, are analytically reformulated within the MiSFIT framework. Then a comparison between the resulting maps is drawn by means of a visual analysis, a quantitative assessment via numerical simulations, a test-retest study across the MICRA dataset (6 subjects scanned five times) and, finaMagnetic resonance in medicineEfficient estimation of propagator anisotropy and non-Gaussianity in multishell diffusion MRI with micro-structure adaptive convolution kernels and dual Fourier integral transforms.PMC9826470RTI2018‐094569‐B‐I00PPN/BEK/2019/1/00421PID2021‐124407NB‐I00Paris GAja-Fernandez SPieciak TTristan-Vega AfalseEfficient estimation of propagator anisotropy and non-Gaussianity in multishell diffusion MRI with micro-structure adaptive convolution kernels and dual Fourier integral transforms.<h4>Purpose</h4>We seek to reformulate the so-called Propagator Anisotropy (PA) and Non-Gaussianity (NG), originally conceived for the Mean Apparent Propagator diffusion MRI (MAP-MRI), to the Micro-Structure adaptive convolution kernels and dual Fourier Integral Transforms (MiSFIT). These measures describe relevant normalized features of the Ensemble Average Propagator (EAP).<h4>Theory and methods</h4>First, the indices, which are defined as the EAP's dissimilarity from an isotropic (PA) or a Gaussian (NG) one, are analytically reformulated within the MiSFIT framework. Then a comparison between the resulting maps is drawn by means of a visual analysis, a quantitative assessment via numerical simulations, a test-retest study across the MICRA dataset (6 subjects scanned five times) and, fina2023-01-01T00:00:00Z2023 Jan2025-04-05T10:27:29.091Z2025-04-05T10:27:29.091ZS-EPMC98264703612131210.1002/mrm.29435