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Tytuł artykułu

The registration and atlas construction of noisy brain computer tomography images based on free form deformation technique

Autorzy
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This article presents the algorithm for nonlinear registration images of brain computer tomography. The registration process is performed by affine transformation optimized by Nelder - Mead simplex method and non-rigid free form deformation model based on B - splines. That algorithm is also used for creation of simple intensity driven deformable brain atlas that can be used for indexing different parts of patienfs brain. Algorithm was tested on 28 CT images, with resolution 512 x 512 pixels, obtained for 8 different patients.
Rocznik
Strony
43--50
Opis fizyczny
Bibliogr. 23 poz., tab., zdj.
Twórcy
autor
  • Chair of Automatics AGH University of Science and Technology, Mickiewicza 30, 30-059 Krakow
Bibliografia
  • [1] Jeffrey C. Lagarias, James A. Reeds, Margaret H. Wright, Paul E. Wright, Convergence properties of the Nelder - Mead simplex method in low dimensions , SIAM Journal of Optimization, Vol. 9, No. 1, pp. 112-147,1997
  • [2] William H. Press, Brian P. Flannery, Saul A. Teukolsky, William T. Vetterling, Downhill Simplex Method in Multidimensions, Numerical Recipes in C, Second Edition (1992), pp. 408-412
  • [3] John L. Semmlow, Biosignal and Biomedical Image Processing. MATLAB - Based Applications, CRC Press 2004
  • [4] D. Rueckert, L. I. Sonoda, C. Hayes, D. L. G. Hill, M. O. Leach, D. J. Hawkes, Nonrigid Registration Using Free-Form Deformations: Application to Breast MR Images, IEEE Transaction on Medical Imaging, Vol. 18, No. 8, August 1999
  • [5] Fumihiko Ino, Kanrou Ooyama, Kenichi Hagihara, A data distributed parallel algorithm for nonrigid image registration, Parallel Computing, 2005
  • [6] E. Bardinet, L. D. Cohen, N. Ayache, Tracking and motion analysis of the left ventricle with deformable superquadrics, Med. Image Anal., Vol. 1, No. 2, pp. 129-149, 1996
  • [7] Adriane Parraga, Johanna Pettersson, Altamiro Susin, Mathieu De Craene , Benoit Macq, Non-rigid registration methods assessment of 3D CT images for head-neck radiotherapy, Medical Imaging 2007: Image Processing, 2007 Macq
  • [8] Julia A. Schnabel, Daniel Rueckert, Marcel Quist, Jane M. Blackall, Andy D. Castellano-Smith, Thomas Hartkens, Graeme P. Penney, Walter A. Hall, Haiying Liu, Charles L. Truwit, Frans A. Gerritsen, Derek L. G. Hill, David J. Hawkes, A Generic Framework for Non-Rigid Registration Based on Non-Uniform Multi-Level Free-Form Deformations, Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2001
  • [9] P. Thompson, M. Mega, K. Narr, E. Sowell, R. Blanton, A. Toga, Brain image analysis and atlas construction, Handbook of Medical Imaging, chapter 17. Pages 1066-1119, SPIE. 2000
  • [10] Usha Sinha, Hooshang Kangarloo, Principal Component Analysis for Contentbased Image Retrieval, RadioGraph-ics 2002; 22: 1271-1289
  • [11] M. R. Ogiela, R. Tadeusiewicz, Modern Computational Intelligence Methods for the Interpretation of Medical Images, Springer-Verlag, Berlin-Heidelberg, 2008
  • [12] R. Tadeusiewicz, M. R. Ogiela, Medical Image Understanding Technology, Springer Verlag, Berlin-Heidelberg, 2004
  • [13] Makoto Sasaki, Kohsuke Kudo, Hirobumi Oikawa, CT perfusion for acute stroke: Current concepts on technical aspects and clinical applications, International Congress Series 1290 (2006) 30-36
  • [14] Aleksa Cenic, Darius G. Nabavi, Rosemary A. Craen, Adrian W. Gelb, and Ting-Yim Lee, Dynamic CT Measurement of Cerebral Blood Flow: A Validation Study, January 1999
  • [15] Richard E. Latchaw, Howard Yonas, George J. Hunter, William T.C. Yuh, Toshihiro Ueda, A. Gregory Sorensen, Jeffrey L. Sunshine, Jose Biller, Lawrence Wechsler, Randall Higashida, George Hademenos, Guidelines and recommendations for perfusion imaging in cerebral ischemia, Stroke 34, (2003) 1084-1104
  • [16] Ryszard Tadeusiewicz, Marek R. Ogiela, Automatic Image Understanding - A New Paradigm for Intelligent Medical Image Analysis (opening article), BIO-ALGORITHMS AND MED-SYSTEMS, Vol. 2, No. 3, 2006, pp. 5-11
  • [17] Ryszard Tadeusiewicz, Marek R. Ogiela, Structural Approach to Medical Image Understanding, Bulletin of the Polish Academy of Sciences - Technical Sciences, Vol. 52, No. 2, 2004, pp. 131-139
  • [18] Antoine Micheau, Denis Hoa, Atlas of brain MRI cross-sectional anatomy, Anatomy of the whole human body: medical imaging and pictures, 2008, http://www.imaios.com/en/e-Anatomy
  • [19] L. Ramirez, N. G. Durdle, V. J. Raso, Medical image registration in computational intelligence framework: a review, Electrical and Computer Engineering, 2003. IEEE CCECE 2003. Canadian Conference on Volume 2,4-7 May 2003, Vol.2, pp. 1021-1024
  • [20] P.J. Phillips, Y. Vardi, S.M. Dunn, M.S. Buchsbaum, J.L. Spiegel-Cohen, An automatic MR-PET registration algorithm, Pattern Recognition, 1996, Proceedings of the 13th International Conference on Volume 3, 25-29 Aug. 1996, Vol. 3, pp. 533-537
  • [21] Guorong Wu, Feihu Qi, Dinggang Shen, Learning-based deformable registration of MR brain images, Medical Imaging, IEEE Transactions on Volume 25, Issue 9, Sept. 2006, pp. 1145-115
  • [22] Simon K. Warfield, Jan Rexilius, Petra S. Huppi, Terrie E. Inder, Erik G. Miller, William M. Wells III, Gary P. Zientara, Ferenc A. Jolesz, Ron Kikinis, A Binary Entropy Measure to Assess Nonrigid Registration Algorithms, Fourth International Conference on Medical Image Computing and Computer-Assisted Intervention, 2001 Oct 14-17, Utrecht, The Netherlands, pp. 266-274
  • [23] A. Purwar, R. Gupta, M. K. Sarma, G. Bayu, A. Singh, D. K. Rathore, S. Saksena, R. Trivedi, A. Mishra, M. Haris, P. Mohan, R. Rathore, De-scalping of the brain in echo planar DT-MRI, Proceedings of International Society of Magnetic Resonance in Medicine 14, 2006
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e30fe432-8e0f-4b47-ae62-abcfb2ec0b01
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