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A Fast and Flexible Image Registration Toolbox

Design and Implementation of the General Approach

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Bildverarbeitung für die Medizin 2007

Abstract

In the last decades there has been tremendous research towards the design of fully automatic non-rigid registration schemes. However, apart from the ITK based implementation of Rueckerts B-spline oriented approach, there is a lack of sound publicly available implementations of the modern schemes. The Flexible Image Registration Toolbox (FLIRT) is an attempt to close this gap. It focuses on non-parametric schemes as popularized in the book by Modersitzki [1]. To be successful, it is crucial for any registration scheme to reflect the special properties of the underlying registration problem. Consequently, FLIRT has an open object-oriented architecture which allows for the incorporation of user prescribed building blocks. In its present form, most of the prominent blocks are already implemented. They may be arranged in a consistent way and cover a wide range of applications. Apart from the flexibility issue, great care has been taken towards fast execution times. The most computationally intensive part, the solution of the underlying linear systems, is implemented by state-of-the-art solution techniques.

The FLIRT package is publicly available, it comes with a user guide and a collection of example problems. It is the purpose of this note, to describe some of the features of the toolbox.

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References

  1. Modersitzki J. Numerical Methods for Image Registration. Oxford University Press; 2003.

    Google Scholar 

  2. Hajnal JV, Hill DLG, Hawkes DJ. Medical Image Registration. CRC Press, Boca Raton; 2001.

    Google Scholar 

  3. Maintz JBA, Viergever MA. A survey of medical image registration. Med Image Anal 1998;2(1):1–36.

    Article  Google Scholar 

  4. Zitová B, Flusser J. Image registration methods: A survey. Image Vis Comp 2003;21(11):977–1000.

    Article  Google Scholar 

  5. Bajcsy R, Kovacic S. Multiresolution elastic matching. Comp Vis Graph Image Process 1989;46:1–21.

    Article  Google Scholar 

  6. Fischer B, Modersitzki J. Fast diffusion registration. In AMS contemporary mathematics, inverse problems, image analysis, and medical maging 2002;313:117–129.

    MathSciNet  Google Scholar 

  7. Fischer B, Modersitzki J. A unified approach to fast image registration and a new curvature based registration technique. Linear Algebra and its Applications 2004;380:107–124.

    Article  MATH  MathSciNet  Google Scholar 

  8. Schnabel JA, Rueckert D, Quist M, et al. A generic framework for non-rigid registration based on non-uniform multi-level free-form deformations. Procs MICCAI 2001; 573–581.

    Google Scholar 

  9. Fischer B, Modersitzki J. FLIRT: A flexible image registration toolbox. LNCS 2003;2717:261–270.

    Google Scholar 

  10. Gill PE, Murray W, Whright MH. Practical Optimization for Non-linear Approximation. Academic Press; 1981.

    Google Scholar 

  11. Fischer B, Modersitzki J. Fast inversion of matrices arising in image processing. Numerical Algorithms 1999;22:1–11.

    Article  MATH  MathSciNet  Google Scholar 

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© 2007 Springer-Verlag Berlin Heidelberg

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Papenberg, N. et al. (2007). A Fast and Flexible Image Registration Toolbox. In: Horsch, A., Deserno, T.M., Handels, H., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2007. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71091-2_22

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