Difference between revisions of "2016 Winter Project Week/Projects/PatchRegistration"
From NAMIC Wiki
(Created page with '__NOTOC__ <gallery> Image:PW-MIT2016.png|Projects List Image:WMH_T1.png|Clinical Stroke Image </gallery> ==Key Investigators== - Adrian Dal…') |
m (Marianna moved page 2016 Winter Project Week:PatchRegistration to 2016 Winter Project Week/Projects/PatchRegistration) |
(No difference)
| |
Revision as of 22:17, 17 December 2015
Home < 2016 Winter Project Week < Projects < PatchRegistration
Clinical Stroke Image
Key Investigators
- Adrian Dalca, Andreea Bobu, Polina Golland, MIT
Project Description
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.
Objective
- We will investigate a current implementation for patch-based discrete registration on sparse-slice data.
