BMapOpt: Optimization of Brain Tissue Probability Maps using a Differentiable MRI Simulator

arXiv:2404.14739v1 Announce Type: new
Abstract: Reconstructing digital brain phantoms in the form of multi-channeled brain tissue probability maps for individual subjects is essential for capturing brain anatomical variability, understanding neurological diseases, as well as for testing image processing methods. We demonstrate the first framework that optimizes brain tissue probability maps (Gray Matter - GM, White Matter - WM, and Cerebrospinal fluid - CSF) with the help of a Physics-based differentiable MRI simulator that models the magnetization signal at each voxel …

abstract arxiv brain cs.cv differentiable digital diseases form framework image image processing maps mri optimization probability processing simulator testing type understanding