• DocumentCode
    139889
  • Title

    A multi-tissue segmentation of the human head for detailed computational models

  • Author

    Hannula, Markus ; Narra, Nathaniel ; Onnela, Niina ; Dastidar, Prasun ; Hyttinen, Jari

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Tampere Univ. of Technol., Tampere, Finland
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    2484
  • Lastpage
    2487
  • Abstract
    This paper describes the creation of an anatomically detailed high resolution model of the human head based on the Visible Human Female data from the National Library of Medicine archives. Automatic and semi-automatic segmentation algorithms were applied over the 3 image volumes - CT, MRI and anatomical cryo-sections of the cadaver - to label a total of 23 tissues. The results were combined to create a labeled volume of the head with voxel dimensions of 0.33×0.33×0.33 mm. The individual label matrices and their corresponding surface meshes are made available to be used freely. The detailed blood vessel network and ocular tissues will be of interest in computational modelling and simulation studies.
  • Keywords
    biological tissues; blood vessels; brain; image resolution; image segmentation; medical image processing; CT; MRI; automatic segmentation; human head; multitissue segmentation; semiautomatic segmentation; visible human female; Brain models; Computational modeling; Computed tomography; Head; Image resolution; Image segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6944126
  • Filename
    6944126