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MSCT Lung Perfusion Imaging Based on Multi-stage Registration

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Part of the book series:Lecture Notes in Computer Science ((LNIP,volume 3773))

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Abstract

We propose a novel subtraction-based method for visualizing segmental and subsegmental pulmonary embolism. For the registration of a pair of CT angiography, a proper geometrical transformation is found through the following steps: First, point-based rough registration is performed for correcting the gross translational mismatch. The center of inertia (COI), apex and hilar point of each unilateral lung are proposed as the reference point. Second, the initial alignment is refined by iterative surface registration. Third, thin-plate spline warping is used to accurately align inner region of lung parenchyma. Finally, enhanced vessels are visualized by subtracting registered pre-contrast images from post-contrast images. To facilitate visualization of parenchymal enhancement, color-coded mapping and image fusion is used. Our method has been successfully applied to four pairs of CT angiography.

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Author information

Authors and Affiliations

  1. School of Electrical Engineering and Computer Science, BK21: Information Technology, Seoul National University,  

    Helen Hong

  2. School of Electrical Engineering and Computer Science, Seoul National University, San 56-1 Shinlim 9-dong Kwanak-gu, Seoul, 151-742, Korea

    Jeongjin Lee

Authors
  1. Helen Hong

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  2. Jeongjin Lee

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Editor information

Editors and Affiliations

  1. Dept. System Engineering and Automation, Universitat Politècnica de Catalunya (UPC) Barcelona, Spain

    Alberto Sanfeliu

  2. Pattern Recognition Group, ICIMAF, Havana, Cuba

    Manuel Lazo Cortés

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© 2005 Springer-Verlag Berlin Heidelberg

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Hong, H., Lee, J. (2005). MSCT Lung Perfusion Imaging Based on Multi-stage Registration. In: Sanfeliu, A., Cortés, M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11578079_57

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