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Registration and normalization of MRI/PET images

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Parametric imaging is more and more popular in dynamic brain studies. It enables to quantitatively or semi-quantitatively estimate physiological state and processes in brain. Parametric images represent spatial distribution of parameter values calculated for chosen mathematical model of the process or object. This work compares different methods of geometrical transformations for image registration and normalization. Appropriate method for image registration and normalization (in reference to atlases) is extremely important for common visualization of structural and parametric images in MRI and PET studies. Rigid and elastic geometrical transformations are implemented and compared. Additionally Delaunay triangulation and image morphing methods are used. Manual and proposed automatic registration and normalization methods are presented and compared based on MRI/PET and Talairach atlas images. Concluding, the proposed automatic image normalization method is accurate and using the combination of Delaunay and morphing methods can produce even better results.
Rocznik
Tom
Strony
159--166
Opis fizyczny
Bibliogr. 6 poz., rys.
Twórcy
autor
  • Department of Biomedical Engineering, Gdansk University of Technology
  • Department of Biomedical Engineering, Gdansk University of Technology
Bibliografia
  • [1] ASHBURNER J., FRISTON K.J., Spatial normalization using basis functions. In R.S.J. Frackowiak, K.J. Friston, C. Frith, R. Dolan, K.J. Friston, C.J. Price, S. Zeki, J. Ashburner, and W.D. Penny, editors, Human Brain Function. Academic Press, 2nd edition, 2003.
  • [2] CALAMANTE F., GADIAN D.G., CONNELLY A., Quantification of Perfusion Using Bolus Tracking Magnetic Resonance Imaging in Stroke. Assumptions, Limitations, and Potential Implications for Clinical Use, Stroke.;33:1146-1151, 2002.
  • [3] MAINTZ J. B. A., Retrospective Registration of Tomographic Brain Images. Doctoral Thesis, University of Utrecht, The Netherlands, Helmholtz Institute, School for Autonomous Systems Research, 1995.
  • [4] MALINA W., ABLAMEYKO S., PAWLAK W., Podstawy cyfrowego przetwarzania obrazów. Akademicka Oficyna Wydawnicza EXIT, 2002.
  • [5] TALAIRACH J., TOURNOUX P., Co-Planar Stereotaxic Atlas of the Human Brain. Thieme Medical Publishers, New York, 1988.
  • [6] WANG J., ALSOP D. C., LI L., LISTERUD J., GONZALEZ-AT J. B., SCHNALL M. D., DETRE J. A., Comparison of Quantitative Perfusion Imaging Using Arterial Spin Labeling at 1.5 and 4.0 Tesla, Magnetic Resonance in Medicine 48:242–254, 2002.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0012-0017
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