• DocumentCode
    2720513
  • Title

    Photon attenuation correction in whole-body PET/MRI using tissue classification

  • Author

    Martinez-Möller, Axel ; Souvatzoglou, Michael ; Nekolla, Stephan G.

  • Author_Institution
    Nuklearmed. Klinik, Tech. Univ. Munchen, Munich, Germany
  • fYear
    2010
  • fDate
    14-17 April 2010
  • Firstpage
    1061
  • Lastpage
    1062
  • Abstract
    A challenge for hybrid PET/MRI imaging is the determination of the photon attenuation map to correct the acquired PET data. Segmentation of adapted MRI sequence data in four tissue classes (background, lungs, fat, and soft tissue) is proposed and evaluated using data from 35 PET/CT whole-body oncological examinations as well as two PET/CT and MRI examinations from the same patients. When reconstructing with the segmented attenuation map, small differences in tumor uptake were observed mainly for osseous lesions, but did not change the clinical interpretation in any case. The method appears to be viable for clinical use.
  • Keywords
    biological tissues; biomedical MRI; cancer; image classification; image reconstruction; image segmentation; image sequences; lung; medical image processing; positron emission tomography; adapted MRI sequence; fat; hybrid PET/MRI imaging; image reconstruction; image segmentation; lungs; oncology; photon attenuation correction; soft tissue; tissue classification; Attenuation; Biological tissues; Computed tomography; Image reconstruction; Image segmentation; Lesions; Lungs; Magnetic resonance imaging; Neoplasms; Whole-body PET; Attenuation Correction; Magnetic Resonance; Positron Emission Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
  • Conference_Location
    Rotterdam
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-4125-9
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2010.5490173
  • Filename
    5490173