After #43 Reviewing the first round of experiments, we will repeat Experiments from Run1 #42 with a subset of Distortions and Reconstruction Algorithms, but increase the number of cases.
Input Data
To be defined. We should make sure, that many diverse cases are covered. Finally, from these results, a maximum of 100 cases can be finally delivered per image property.
Distortions + Reconstruction Algorithms
To be defined in #43.
Acceptance Criteria
Images were generated into (e.g.) mri_recon/reports/experiments_run3//<reconstruction_algorithm><corrected/ornot>.tif
After #43 Reviewing the first round of experiments, we will repeat Experiments from Run1 #42 with a subset of Distortions and Reconstruction Algorithms, but increase the number of cases.
Input Data
To be defined. We should make sure, that many diverse cases are covered. Finally, from these results, a maximum of 100 cases can be finally delivered per image property.
Distortions + Reconstruction Algorithms
To be defined in #43.
Acceptance Criteria
Images were generated into (e.g.) mri_recon/reports/experiments_run3//<reconstruction_algorithm><corrected/ornot>.tif