• DocumentCode
    3343823
  • Title

    Attenuation correction in MR-BrainPET with segmented T1-weighted MR images of the patient´s head — A comparative study with CT

  • Author

    Wagenknecht, Gudrun ; Kops, Elena Rota ; Mantlik, Frédéric ; Fried, Eduard ; Pilz, Tony ; Hautzel, Hubertus ; Tellmann, Lutz ; Pichler, Bernd J. ; Herzog, Hans

  • Author_Institution
    Res. Center Julich, Central Inst. for Electron., Julich, Germany
  • fYear
    2011
  • fDate
    23-29 Oct. 2011
  • Firstpage
    2261
  • Lastpage
    2266
  • Abstract
    Our method for attenuation correction (AC) in MR-BrainPET with segmented T1-weighted MR images of the pa-tient´s head was applied to data from different MR-BrainPET scanners (Jülich, Tübingen) and compared to CT-based results. The study objectives presented in this paper are twofold. The first objective is to examine if the segmentation method developed for and successfully applied to 3D MP-RAGE data can also be used to segment other T1-weighted MR data such as 3D FLASH data. The second aim is to show if the similarity of segmented MR-based (SBA) and CT-based AC (CBA) obtained at HR+ PET can also be confirmed for BrainPET for which the new AC method is intended for. In order to reach the first objective, 14 segmented MR data sets (three 3D MP-RAGE data sets from Jülich and eleven 3D FLASH data sets from Tubingen) were compared to the resp. CT data based on the Dice coefficient and scatter plots. For bone, a CT threshold HU>;500 was applied. Dice coefficients (mean±std) for the upper cranial part of the skull, the skull above cavities, and in the caudal part including the cerebellum are 0.73±0.1, 0.79±0.04, and 0.49±0.02 for the Jülich data and 0.7U0.1, 0.72±0.1, and 0.60±0.05 for the Tubingen data. To reach the second aim, SBA and CBA were compared for six subjects based on VOI (AAL atlas) analysis. Mean absolute relative difference (maRD) values are maRD(JUFVBWl-FDG): 0.99%±0.83%, maRD(JüFVBW2-FDG): 0.90%±0.89%, and maRD(JUEP-Fluma- zenil): 1.85%±1.25% for the Jülich data and maRD(TuTP02- FDG): 2.99%±1.65%, maRD(TuNP01-FDG): 5.37%±2.29%, and maRD(TuNP02-FDG): 6.52%±1.69% for the three best-segmented Tübingen data sets. The results show similar segmentation quality for both Tl- weighted MR sequence types. The application to AC in BrainPET - hows a high similarity to CT-based AC if the standardized ACF value for bone used in SBA is in good accordance to the bone density of the patient in question.
  • Keywords
    biomedical MRI; brain; image segmentation; medical image processing; positron emission tomography; 3D FLASH data; Dice coefficient; MRI-brainPET; Tubingen data sets; attenuation correction; bone density; cavities; computerised tomography; mean absolute relative difference; patient head; scatter plots; segmented Tl-weighted MRI; skull; upper cranial part; Biomedical imaging; Computed tomography; Head; Image segmentation; Indexes; Irrigation; Three dimensional displays; CT; MR-BrainPET; attenuation correction; knowledge-based head segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE
  • Conference_Location
    Valencia
  • ISSN
    1082-3654
  • Print_ISBN
    978-1-4673-0118-3
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2011.6153858
  • Filename
    6153858