This repository will collect codes accompanying the publication: Hauptmann et al., Model based learning for accelerated, limited-view 3D photoacoustic tomography, https://arxiv.org/abs/1708.09832
Scripts need Matlab, k-wave toolbox, Python, and tensorflow
Note: Codes are complete for DGD. Network phantom data for simulated test cases added.
- 19 January 2018: First commit
- 29 January 2018: k-wave wrapper added and evaluation of model
- 20 March 2018: network data (DGD) and simulated phantoms added