2014 Summer Project Week:Stroke-SuperResolution
- Adrian Dalca, Ramesh Sridharan, Polina Golland, MIT
To improve results for Large Datasets of clinical-quality data, we are investigating super-resolution methods. Here, we are using a patch-based approach with MRF priors and utilizing only the current dataset, without an external training dataset.
- We will investigate/implement a scale-space MRF inference based on patch search results.
- We are developing a patch library in MATLAB, and need to apply it in a scale-space framework to the T2-FLAIR dataset.