• DocumentCode
    1673149
  • Title

    Fast Non-Rigid Image Registration Using Viscous Fluid Model and B-Spline

  • Author

    Rong Chengcheng ; Zhou Jian ; Limin, L. ; Cao Guogang

  • Author_Institution
    Lab. of Image Sci. & Technol., Southeast Univ., Nanjing
  • fYear
    2008
  • Firstpage
    2450
  • Lastpage
    2453
  • Abstract
    Viscous fluid based non-rigid registration algorithm is an appropriate method for registering objects with large-scale difference. The core component of the algorithm is to solve the fluid partial differential equations. Usually, iterative methods, such as successive over-relaxation, are employed to obtain the solution, but the computational complexity is very tremendous. To reduce the complexity, a fast method based on fluid model combined with B- spline is presented. Firstly, B-spline is used to model the velocity fields, so that the large number of unknowns are reduced to fewer B-spline coefficients; Secondly, by use of some special attributes of B-spline and fast Fourier transform(FFT), direct inversion for the B-spline coefficients are deduced. Experimental results show that our new method is not only suitable for the large-scale image deformation but also amounts relatively lower computational costs.
  • Keywords
    computational fluid dynamics; fast Fourier transforms; image registration; splines (mathematics); viscosity; B-spline; computational complexity; fast Fourier transform; fast nonrigid image registration; large-scale image deformation; partial differential equations; viscous fluid model; Appropriate technology; Brain; Computational complexity; Differential equations; Finite difference methods; Image registration; Iterative algorithms; Large-scale systems; Partial differential equations; Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1747-6
  • Electronic_ISBN
    978-1-4244-1748-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2008.945
  • Filename
    4535825