Zi-Han Zhou

SubDIVIDE: Efficient tensor‐valued diffusion magnetic resonance imaging via joint diffusional variance decomposition modeling and subspace reconstruction

Tensor‐valued diffusion MRI enables disentangling microscopic diffusion anisotropy and isotropic heterogeneity through models such as diffusional variance decomposition (DIVIDE) and diffusion tensor distributions (DTD). However, these models require dense sampling across multiple b ‐values and b‐tensor shapes, ma...