Registration

Registration

The process of registration of medical images is one of the most fundamental in this field. It arises in various contexts, including when images from different individuals are mapped to a standardized coordinate system or atlas, thereby accounting for inter-individual anatomical variations, or when the scan of a patient is mapped to a later scan at a follow-up examination, in which anatomical change has likely occurred. Our group has a long-standing involvement in deformable registration methods[1-4], with particular emphasis on the use of rich imaging feature vectors as drivers of deformable registration, as well the use of the concept of mutual saliency as a means for weighting registration transformations according to regional confidence in the detected matches.

Current Projects:

— Deformable Registration via Attribute Matching and Mutual-Saliency Weighting —  DRAMMS

— Pre-Operative and post-Recurrence brain Tumor Registration — PORTR

— Spatial Alignment of fMRI data — fMRI

 
Publications

  1. Davatzikos C: Spatial transformation and registration of brain images using elastically deformable models. Computer Vision and Image Understanding 1997, 66(2):207-222.
  2. Shen D, Davatzikos C: HAMMER: hierarchical attribute matching mechanism for elastic registration. IEEE transactions on medical imaging 2002, 21(11):1421-1439.
  3. Ou Y, Sotiras A, Paragios N, Davatzikos C: DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting. Medical image analysis 2011, 15(4):622-639.
  4. Ou Y, Akbari H, Bilello M, Da X, Davatzikos C: Comparative Evaluation of Registration Algorithms in Different Brain Databases with Varying Difficulty: Results and Insights. IEEE transactions on medical imaging 2014.