In this paper, we propose a new tomographic reconstruction method, called IOD-PVRMPP, to reconstruct 3D particle volumesfrom 2D particle images provided by the Tomographic Particle Image Velocimetry (Tomo-PIV) technique. Our method, based on marked pointprocesses (or object processes), allows to solve the problem in a parsimonious way and facilitates the introduction of prior knowledge. To thisaim, we use a simulated annealing algorithm based on Reversible Jump Markov Chain Monte Carlo (RJMCMC) method. To speed up theconvergence of the simulated annealing, we develop an initialization method. Using synthetic data, we show that IOD-PVRMPP method givesbetter results than MinLOS-MART method for different seeding densities.