• DocumentCode
    2072454
  • Title

    Automated initialization and region of interest detection for successful head registration of truncated CT/MR head & neck images

  • Author

    Steger, Sebastian ; Keil, Matthias

  • Author_Institution
    Dept. of Cognitive Comput. & Med. Imaging, Fraunhofer IGD, Darmstadt, Germany
  • fYear
    2010
  • fDate
    3-5 Nov. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Maximization of a voxel based similarity metric like mutual information is the state of the art for the multimodal rigid registration of the head. To achieve satisfactory results the transform needs to be initialized properly and the region of interest (ROI) containing only rigid structures has to be defined in both images. In this paper we present and comprehensively evaluate an automated initialization and ROI detection method that enables the fully automated rigid registration of routinely gathered head CT and MR images.
  • Keywords
    biomedical MRI; computerised tomography; feature extraction; image registration; medical image processing; automated ROI detection method; automated initialization method; head registration; multimodal rigid registration; region of interest; similarity metric like mutual information; truncated CT-MR head and neck images; voxel maximization; Biomedical imaging; Head; Instruments; Neck;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications in Biomedicine (ITAB), 2010 10th IEEE International Conference on
  • Conference_Location
    Corfu
  • Print_ISBN
    978-1-4244-6559-0
  • Type

    conf

  • DOI
    10.1109/ITAB.2010.5687638
  • Filename
    5687638