After completing #42 and #44 The results have to be reviewed:
Questions To Be Reviewed
- Which combinations of data source + distortion + reconstruction algorithm are impossible to process?
- Which distortions and/or reconstruction algorithms show unexpected results and should be reviewed regarding correct implementation?
- Which combinations of distortions + reconstruction algorithms create identically looking results?
- Are there distortions, that should be parametrized differently to enhance their effect?
- Are there significant differences in the effects of the distortions regarding data sources/ body regions / sequence types?
- Are all image properties effectively modified by the current distortions + reconstruction variants, which combinations show strongest results for each image property?
Image Properties to be covered
- Pixel resolution / spacing (General properties)
- Sharpness (Glancing/Full image)
- Intensity uniformity (Glancing/Full image)
- Noise level (Glancing/Full image)
- RoI homogeneity (Glancing/Objects of interest)
- Edges (Scanning)
- Contrast preservation of anatomical structures (Scanning)
Acceptance Criteria
- Answers to all above questions
- Final list of planned combinations of data + distortions + reconstructions for final experiments
After completing #42 and #44 The results have to be reviewed:
Questions To Be Reviewed
Image Properties to be covered
Acceptance Criteria