• DocumentCode
    3535445
  • Title

    Development of a high resolution and quantitative SPECT for the human brain

  • Author

    Hirano, Y. ; Zeniya, T. ; Iida, H.

  • Author_Institution
    Dept. of bio-Med. Imaging, Nat. Cerebral & Cardiovascular Res. Center Inst., Suita, Japan
  • fYear
    2010
  • fDate
    Oct. 30 2010-Nov. 6 2010
  • Firstpage
    3393
  • Lastpage
    3396
  • Abstract
    We are developing a high resolution and quantitative SPECT for the human brain. The SPECT has two types of detector, a large FOV detector with a parallel collimator and a small FOV detector with a pinhole collimator. A quantitative and high resolution image is reconstructed by the small FOV detector using a supporting image obtained by the large FOV detector. The large FOV detector consists of a Nal(Tl) scintillator (147 × 250 × 6.4 mm3) and 15 flat panel type multi-anode PMTs (H8500, Hamamatsu) arranged on 5×3 matrix. H8500 has 8×8 anodes with 5.8 mm2. We have constructed the large FOV detector and checked the performance. We also took SPECT images of a cylindrical phantom, a 3D brain phantom and multi line sources. An interaction point is calculated by the Anger method using all anodes (40×24). The observed intrinsic spatial resolution (FWHM mm) in x and j-direction were 3.5 mm and 3.1 mm, respectively. But these are less than we expected. We aimed at ~2 mm, which is better resolution than clinical SPECTs ~4, 5 mm. To improve the spatial resolution, we proposed a method instead of the Anger method and estimated the performance by using of a Monte Carlo simulation of scintillation lights (Geant4). To identify an interaction point, reference data set of distribution of scintillation lights on the PMT anodes is used. The reference data set is previously measured at known incident positions. For each event, the most similar distribution with the reference data set determined by a least squared method is identified as the interaction point. Using the method, 1.8 mm resolution is expected. Meanwhile, the small FOV detector is under the construction. We use a LaBr3(Ce) scintillator (100 × 100 × 4 mm3) and 4 H8500s. We measured the physical performance, spatial and energy resolution and the position dependence. The intrinsic spatial resolution in × and j-direction a- - nd the energy resolution are 2.3 mm, 2.4 mm and 6.1%, respectively.
  • Keywords
    Monte Carlo methods; anodes; brain; image reconstruction; image resolution; least squares approximations; medical image processing; phantoms; photomultipliers; single photon emission computed tomography; solid scintillation detectors; Anger method; Geant4; LaBr3(Ce) scintillator; LaBr3Ce; Monte Carlo simulation; NaITl; Nal(Tl) scintillator; SPECT; flat panel type multi-anode PMT; human brain; image reconstruction; large FOV detector; least squared method; parallel collimator; phantom; pinhole collimator; size 100 mm; size 147 mm; size 250 mm; size 4 mm; size 6.4 mm; small FOV detector; Adaptive optics; Anodes; Detectors; Energy resolution; Optical imaging; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record (NSS/MIC), 2010 IEEE
  • Conference_Location
    Knoxville, TN
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-9106-3
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2010.5874436
  • Filename
    5874436