This repository will collect codes accompanying the publication: Hauptmann et al., Model based learning for accelerated, limited-view 3D photoacoustic tomography, IEEE Transactions on Medical Imaging, 2018: https://doi.org/10.1109/TMI.2018.2820382
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