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Non-rigid registration using hardware-accelerated free-form deformation

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper we introduce a new method for non-rigid voxel-based registration of medical images. There exist many applications where an alignment between two image datasets has to be established. Often a registration of a time-shifted medical image sequence with appearing deformation of soft tissue (e.g. pre- and intraoperative data) has to be conducted. Soft tissue deformations are usually highly non-linear. In our approach, for the handling of this phenomenon and for obtaining an optimal non-linear alignment of respective datasets we transform one of them using 3D Bézier functions, which provides some inherent smoothness as well as elasticity. In order to find the optimal transformation, many evaluations of this Bézier function are necessary. In order to make the method more efficient, graphics hardware is extensively used. We applied our non-rigid algorithm successfully to MR brain images in several clinical cases and showed its value.
Rocznik
Tom
Strony
MI181--188
Opis fizyczny
Bibliogr. 14 poz., rys., tab.
Twórcy
autor
  • Computer Graphics Group, University of Erlangen-Nuremberg, Am Weichselgarten 9, 91058 Erlangen, Germany
autor
  • Computer Graphics Group, University of Erlangen-Nuremberg, Am Weichselgarten 9, 91058 Erlangen, Germany
  • Computer Graphics Group, University of Erlangen-Nuremberg, Am Weichselgarten 9, 91058 Erlangen, Germany
  • Neurocenter, Department of Neurosurgery, University of Erlangen-Nuremberg, Schwabchanlage 6, 91058 Erlangen, Germany
autor
  • Neurocenter, Department of Neurosurgery, University of Erlangen-Nuremberg, Schwabchanlage 6, 91058 Erlangen, Germany
autor
  • Computer Graphics Group, University of Erlangen-Nuremberg, Am Weichselgarten 9, 91058 Erlangen, Germany
Bibliografia
  • [1] Bajcsy R. and Kovacic S., Multiresolution elastic matching, Computer Vision, Graphics and Image Processing, 48, pp. 1–21, 1989
  • [2] Bezier P., Numerical Control: Mathematics and Applications, Wiley, 1972
  • [3] Collignon A., Vandermeulen D., Suetens P., and Marchal G., Automated Multi-Modality Image Registration Based on Information Theory, Kluwen Acad. Publ’s: Comput. Imag. and Vis., 3, pp.263–274, 1995
  • [4] Christensen G., Deformable shape models for anatomy, Washington University, 1994
  • [5] Ferrant M., Nabavi A., Macq B., Jolesz F. A., Kikinis R., and Warfield S. K., Registration of 3D Intraoperative MR Images of the Brain Using a Finite Element Biomechanical Model, IEEE Trans.on Med. Img., 20(12), pp. 1384–1397, 2001
  • [6] Golland P., Kikinis R., Umans C., Halle M., Shenton M. E., and Richolt J. A., Anatomy-Browser: A Framework for Integration of Medical Information, Proc. MICCAI, pp. 720–731, Lect. Notes in Comp. Sc., Springer, 1998
  • [7] Hastreiter P. and Ertl T., Integrated Registration and Visualization of Medical Image Data, Proc. CGI, pp. 78–85, Hannover, Germany, 1998
  • [8] Hata N., Nabavi A., Wells III W., Warfield S., Kikinis R., Black P., and Jolesz F., Three dimensional Optical Flow Method for Measurement of Volumetric Brain Deformation from Intraoperative MR Images, J. Comput Assist. Tomogr., 24, pp. 531–538, 2000
  • [9] Miga M., Paulsen K., Hoopes P., Kennedy F., and Hartov A., In Vivo Analysis and Modeling of Interstitial Pressure in the Brain under Surgical Loading, J. Biomech. Eng., 122(4), pp. 354–363, 2000
  • [10] Pressw., Flanneryb., Teukolsky S., and Vetterling W., Numerical Recipes in C++, Cambridge University Press, 2002
  • [11] Rezk-Salama C., Scheuering M., Soza G., and Greiner G., Fast Volumetric Deformation on General Purpose Hardware, Proc. SIGGRAPH/Eurographics Workshop on Graphics Hardware, 2001
  • [12] Rueckert D., Sonoda L. I., Hayes C., Hill D. L. G., Leach M. O., and Hawkes D. J., Nonrigid Registration Using Free-Form Deformations: Application to Breast MR Images, IEEE Trans Med Img, 18(8), pp. 712–721, 1999
  • [13] Soza G., Hastreiter P., Bauer M., Rezk-Salama C., Nimsky Ch., and Greiner G., Intraoperative Registration on Standard PC Graphics Hardware, Proc. BVM (Bildverarbeitung für die Medizin), 2002
  • [14] Viola P. and Wells W., Alignment by Maximization of Mutual Information, Proc. Vth Int. Conf. Comp. Vision, pp. 16–23, Cambridge, MA, 1995
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0023-0025
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