Fast iterative reconstruction for photoacoustic tomography using learned physical model: Theoretical validation
Iterative reconstruction has demonstrated superior performance in medical imaging under compressed, sparse, and limited-view sensing scenarios.However, iterative reconstruction algorithms are slow to converge and rely heavily on hand-crafted parameters to achieve good performance.Many iterations are usually required to reconstruct a high-quality im