• DocumentCode
    2108579
  • Title

    Automated material map generation from MRI scout pairs for preclinical PET attenuation correction

  • Author

    Bandi, P. ; Zsoter, N. ; Koncz, P. ; Babos, M. ; Hobor, S. ; Mathe, Domokos ; Papp, L.

  • Author_Institution
    Mediso Med. Imaging Syst. Ltd., Budapest, Hungary
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    5351
  • Lastpage
    5354
  • Abstract
    A novel method is presented to perform material map segmentation from preclinical MRI for corresponding PET attenuation correction. MRI does not provide attenuation ratio, hence segmenting a material map from it is challenging. Furthermore the MRI images often suffer from ghost artifacts. On the contrary MRI has no radiation dose. Our method operated with fast spin echo scout pairs that had perpendicular frequency directions. This way the direction of the ghost artifacts were perpendicular as well. Our body-air segmentation method built on this a priori information and successfully erased the ghost artifacts from the final binary mask. Visual and quantitative validation was performed by two preclinical specialists. Results indicate that our method is effective against MRI scout ghost artifacts and that PET attenuation correction based on MRI makes sense even on preclinical images.
  • Keywords
    biomedical MRI; image segmentation; medical image processing; positron emission tomography; MRI image; MRI scout ghost artifacts; MRI scout pairs; automated material map generation; binary mask; body-air segmentation method; fast spin echo scout pairs; material map segmentation; preclinical PET attenuation correction; preclinical image; quantitative validation; visual validation; Attenuation; Computed tomography; Image segmentation; Magnetic resonance imaging; Materials; Positron emission tomography; Automation; Magnetic Resonance Imaging; Positron-Emission Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6347203
  • Filename
    6347203