SINDBAD : a realistic multi-purpose and scalable X-ray si mulation tool for NDT applications

The X-ray radiographic simulation software SINDBAD, has been developed to help the design stage of radiographic systems or to evaluate the efficiency of i mage processing techniques, in both medical imaging and Non-Destructive Evaluation (NDE) industrial fields . This software can model any radiographic set-up, including the X-ray source, the beam interaction inside the object represented by its Computed Aided Design (CAD) model, and the imaging process in the detector. For each step of the virtual experimental bench, SINDBAD combines different modelling modules, accessed via Graphical User Interfaces (GUI), to provide realistic synthetic images. In this paper, we present an overview of all the functionalities which are available in SINDBAD, with a complete description of all the physics taken into account in models as well as the CAD and GUI facili ties available in many computing platforms. We underline the different modules usable for different applic ations which make SINDBAD a multi-purposed and scalable X-ray simulation tool.

[1]  O. Monnet,et al.  Dimensioning A Versatile CdZnTe Small Field Of View Gamma-Camera With SINDBAD, a Mixed Analytical-Monte Carlo Simulation Tool , 2006, 2006 IEEE Nuclear Science Symposium Conference Record.

[2]  J. Tabary,et al.  Combination of high resolution analytically computed uncollided flux images with low resolution Monte Carlo computed scattered flux images , 2004, IEEE Transactions on Nuclear Science.

[3]  Joachim Tabary,et al.  New Functionalities in "SINDBAD" Software for Realistic X-Ray Simulation Devoted to Complex Parts Inspection , 2006 .

[4]  J. Baró,et al.  An algorithm for Monte Carlo simulation of coupled electron-photon transport , 1997 .

[5]  J. Tabary,et al.  RECENT IMPROVEMENTS FOR SCATTER SIMULATION IN SINDBAD, A COUPLED PHOTON MONTE CARLO AND CAD SOFTWARE , 2004 .

[6]  J. Tabary,et al.  Coupling Photon Monte Carlo Simulation and CAD Software. Application to X-ray Nondestructive Evaluation , 2001 .

[7]  Anne Koenig,et al.  A physics-based model of pixellated semiconductor gamma camera , 2000 .

[8]  V. Rebuffel,et al.  Optimisation of acquisition parameters for radiography using numerical simulation , 2007 .

[9]  Daniel Babot,et al.  New Developments in Virtual X-ray Imaging: Fast Simulation Using a Deterministic Approach , 2003 .

[10]  M.B. Aufderheide,et al.  HADES, a code for simulating a variety of radiographic techniques , 2004, IEEE Symposium Conference Record Nuclear Science 2004..

[11]  Joachim TABARY,et al.  Optimization of Acquisition Parameters for Radiography using Numerical Simulation , .

[12]  A. Koenig,et al.  Radiographs simulation using system MTF , 2000 .

[13]  Dave Turner,et al.  Parallel Implementation of the Integral Transport Equation-Based Radiography Simulation Code , 2001 .

[14]  Gerd-Rüdiger Tillack,et al.  Monte Carlo Simulation or Photon Transport Coupled to CAD Object Description , 2004 .

[15]  A. Schumm,et al.  NUMERICAL SIMULATION OF RADIOGRAPHIC INSPECTIONS : FAST AND REALISTIC RESULTS EVEN FOR THICK COMPONENTS , 2004 .

[16]  S Chatillon,et al.  CIVA: an expertise platform for simulation and processing NDT data. , 2006, Ultrasonics.

[17]  A. Glière,et al.  Sindbad: From CAD Model to Synthetic Radiographs , 1998 .

[18]  Stephane Bonnet,et al.  Dynamic CT simulation for minimal invasive surgery , 2004, SPIE Medical Imaging.

[19]  Lellery Storm,et al.  Photon cross sections from 1 keV to 100 MeV for elements Z=1 to Z=100 , 1970 .

[20]  Francoise Mathy,et al.  Experimental validation of a coupled photon Monte Carlo and CAD software , 2003 .