A 3-D spatio-temporal deconvolution approach for MR perfusion in the brain
We propose a theoretically grounded spatio-temporal model for the PWI deconvolution problem. We provide a globally convergent algorithm to solve the associated optimization problem. We show that our approach outperforms the standard (temporal-only) deconvolution methods using both synthetic and real data. The validation of the proposed approach was carried out at each step of the PWI processing pipeline.
deconvolution spatio-temporal model acute stroke perfusion weighted mri tissue outcome prediction