title: GATE validation of standard dual energy corrections in small animal SPECT-CT.
abstract: This paper addresses 123I and 125I dual isotope SPECT imaging, which can be challenging because of spectrum overlap in the low energy spectrums of these isotopes. We first quantify the contribution of low-energy photons from each isotope using GATE-based Monte Carlo simulations for the MOBY mouse phantom. We then describe and analyze a simple, but effective method that uses the ratio of detected low and high energy 123I activity to separate the mixed low energy 123I and 125I activities. Performance is compared with correction methods used in conventional tissue biodistribution techniques. The results indicate that the spectrum overlap effects can be significantly reduced, if not entirely eliminated, when attenuation and scatter is either absent or corrected for using standard methods. In particular, we show that relative activity levels of the two isotopes can be accurately estimated for a wide range of organs and provide quantitative validation that standard methods for spectrum overlap correction provide reasonable estimates for reasonable corrections in small-animal SPECT/CT imaging.
authors: Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996 USA; Department of Radiology, Graduate School of Medicine, University of Tennessee, Knoxville, TN 37920 USA.
authors: Sanghyeb
authors: S
authors: Lee
authors: Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996 USA.
authors: Jens
authors: J
authors: Gregor
authors: Department of Radiology, Graduate School of Medicine, University of Tennessee, Knoxville, TN 37920 USA; Department of Medicine, Graduate School of Medicine, University of Tennessee, Knoxville, TN 37920 USA.
authors: Stephen J
authors: SJ
authors: Kennel
authors: Department of Radiology, Graduate School of Medicine, University of Tennessee, Knoxville, TN 37920 USA.
authors: Dustin R
authors: DR
authors: Osborne
authors: Department of Radiology, Graduate School of Medicine, University of Tennessee, Knoxville, TN 37920 USA; Department of Medicine, Graduate School of Medicine, University of Tennessee, Knoxville, TN 37920 USA.
authors: Jonathan
authors: J
authors: Wall
mesh_terms: D000686:Amyloidosis / Q000000981:diagnostic imaging*; D000818:Animals; D004195:Disease Models, Animal; D051379:Mice; D009010:Monte Carlo Method; D019047:Phantoms, Imaging; D015899:Tomography, Emission-Computed, Single-Photon / Q000379:methods*