Joshua D Herman1, Rachel E Roca1, Alexandra G O'Neill1, Sajan G Lingala2, and Angel R Pineda1
1Mathematics Department, Manhattan College, Riverdale, NY, United States, 2Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA, United States
1Mathematics Department, Manhattan College, Riverdale, NY, United States, 2Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA, United States
Task-based
assessment of image quality for signal detection by humans for neural network
reconstructions leads to a different choice of undersampling than SSIM, NRMSE
or ideal observers.
Figure 3. Sample
2AFC trial where a subject chooses which of the two images contains the signal
in the middle. Each of the 4 observers conducted 200 trials for each amount of undersampling.
Figure 2.
U-Net Diagram. For this study x = 64
channels and a 0.1 dropout was used.
