Canny edge-based deformable image registration
Recommended Citation
Kearney V, Huang Y, Mao W, Yuan B, and Tang L. Canny edge-based deformable image registration. Phys Med Biol 2017; 62(3):966-985.
Document Type
Article
Publication Date
2-7-2017
Publication Title
Physics in medicine and biology
Abstract
This work focuses on developing a 2D Canny edge-based deformable image registration (Canny DIR) algorithm to register in vivo white light images taken at various time points. This method uses a sparse interpolation deformation algorithm to sparsely register regions of the image with strong edge information. A stability criterion is enforced which removes regions of edges that do not deform in a smooth uniform manner. Using a synthetic mouse surface ground truth model, the accuracy of the Canny DIR algorithm was evaluated under axial rotation in the presence of deformation. The accuracy was also tested using fluorescent dye injections, which were then used for gamma analysis to establish a second ground truth. The results indicate that the Canny DIR algorithm performs better than rigid registration, intensity corrected Demons, and distinctive features for all evaluation matrices and ground truth scenarios. In conclusion Canny DIR performs well in the presence of the unique lighting and shading variations associated with white-light-based image registration.
Medical Subject Headings
Algorithms; Image Processing, Computer-Assisted
PubMed ID
28081014
Volume
62
Issue
3
First Page
966
Last Page
985