Learned Adaptive Multiresolution Diffusion Imaging
Learned Adaptive Multiresolution Diffusion Imaging (Learned AMDI) replaces fixed rules for tree updates in diffusion imaging with a learned policy trained via proximal policy optimization. This allows the method to adapt its resolution allocation based on local image features, leading to significant improvements in accuracy and occupancy compared to traditional deterministic methods while maintaining hierarchy constraints.