2015 Winter Project Week:PatchRegistration
- Adrian Dalca, Andreea Bobu, Polina Golland, MIT
Due to the low quality of clinical images (often with many artifacts, 7mm thick slices, etc), most standard algorithms, such as those for registration, segmentation, and analysis, will fail. In part, this is because registration algorithm depend on assumptions of smooth anatomical structures and good quality images, which are not present in these sparse clinical acquisitions. Here, we are investigating a patch-based discrete image registration which allows for more versatile image metrics and does not impose similar assumptions.
- We will investigate a current implementation for patch-based discrete registration on sparse-slice data.