title: Dependency of energy and spatial distributions of photons on edge of object in brain SPECT.
abstract: OBJECTIVE
  Accurate mu maps are important for quantitative image reconstruction in SPECT. The Compton scatter energy window (CSW) technique has been proposed to define the outline of objects. In this technique, a lower energy window image is acquired in addition to the main photo-peak energy window. The image of the lower energy window is used to estimate the edge of the scanned object to produce a constant attenuation map. The aim of this study was to investigate the dependency of CSW on the spatial and energy distribution of radioisotope to predict the edges of objects.
  
  
  METHODS
  Two particular cases of brain study were considered, namely uniform distribution and non-uniform distribution using Monte Carlo simulation and experiments with uniform cylindrical phantom and hotspot phantom. The phantoms were filled with water and a radioactive solution of 99mTc. For each phantom, 20%, 30%, 40% and 50% thresholds of the mean profile were applied to estimate Ewt, the energy window for minimum difference between the estimated and true edge of objects.
  
  
  RESULTS
  The Ewt's were 100-120 keV with a 40% threshold and 92-114 keV with a 30% threshold for uniform and hotspot phantoms, respectively.
  
  
  CONCLUSIONS
  Edge of the objects with CSW technique varies with energy window and thresholds. Careful setting of the energy window is required to use the CSW technique.
authors.affiliation: Department of Investigative Radiology, National Cardiovascular Center Research Institute, Suita, Osaka, Japan.
authors.forename: Hossain M
authors.initials: HM
authors.lastname: Deloar
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Watabe
authors.forename: Nobuyuki
authors.initials: N
authors.lastname: Kudomi
authors.forename: Kyeong Min
authors.initials: KM
authors.lastname: Kim
authors.forename: Toshiyuki
authors.initials: T
authors.lastname: Aoi
authors.forename: Hidehiro
authors.initials: H
authors.lastname: Iida
mesh_terms: D000465:Algorithms; D001921:Brain / Q000000981:diagnostic imaging*; D003198:Computer Simulation; D004735:Energy Transfer; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008954:Models, Biological; D010363:Pattern Recognition, Automated; D019047:Phantoms, Imaging; D017785:Photons; D015203:Reproducibility of Results; D012542:Scattering, Radiation; D012680:Sensitivity and Specificity; D015899:Tomography, Emission-Computed, Single-Photon / Q000295:instrumentation / Q000379:methods*