Author/Authors :
Schultz، نويسنده , , L.J. David Wallace، نويسنده , , M.S. and Galassi، نويسنده , , M.C. and Hoover، نويسنده , , A.S. and Mocko، نويسنده , , M. and Palmer، نويسنده , , D.M. and Tornga، نويسنده , , S.R. and Kippen، نويسنده , , R.M. and Hynes، نويسنده , , M.V. and Toolin، نويسنده , , M.J. and Harris، نويسنده , , B. and McElroy، نويسنده , , J.E. and Wakeford، نويسنده , , D. and Lanza، نويسنده , , R.C. and Horn، نويسنده , , B.K.P. and Wehe، نويسنده , , D.K.، نويسنده ,
Abstract :
The trimodal imager (TMI) images gamma-ray sources from a mobile platform using both coded aperture (CA) and Compton imaging (CI) modalities. In this paper we will discuss development and performance of image reconstruction algorithms for the TMI. In order to develop algorithms in parallel with detector hardware we are using a GEANT4 [J. Allison, K. Amako, J. Apostolakis, H. Araujo, P.A. Dubois, M. Asai, G. Barrand, R. Capra, S. Chauvie, R. Chytracek, G. Cirrone, G. Cooperman, G. Cosmo, G. Cuttone, G. Daquino, et al., IEEE Trans. Nucl. Sci. NS-53 (1) (2006) 270] based simulation package to produce realistic data sets for code development. The simulation code incorporates detailed detector modeling, contributions from natural background radiation, and validation of simulation results against measured data. Maximum likelihood algorithms for both imaging methods are discussed, as well as a hybrid imaging algorithm wherein CA and CI information is fused to generate a higher fidelity reconstruction.
Keywords :
Gamma-ray imaging , Coded aperture , Stand-off detection , homeland security , Compton imaging
