Canny edge-based deformable image registration

Vasant Kearney, Yihui Huang, Weihua Mao, Baohong Yuan, Liping Tang

Research output: Contribution to journalArticle

6 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)966-985
Number of pages20
JournalPhysics in Medicine and Biology
Volume62
Issue number3
DOIs
StatePublished - Feb 7 2017

Keywords

  • deformable image registration
  • sparse interpolation
  • surface registration

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Kearney, V., Huang, Y., Mao, W., Yuan, B., & Tang, L. (2017). Canny edge-based deformable image registration. Physics in Medicine and Biology, 62(3), 966-985. https://doi.org/10.1088/1361-6560/aa5342