GPU implementation of a 3D bayesian CT algorithm and its application on real foam reconstruction

Nicolas Gac (1) , Alexandre Vabre (2) , Ali Mohammad-Djafari (1) , Asier Rabanal (1) , Fanny Buyens (2)

1 L2S - Laboratoire des signaux et systèmes
2 LIST (CEA) - Laboratoire d'Intégration des Systèmes et des Technologies

A great number of image reconstruction algorithms, based on analytical filtered backprojection, are implemented for X-ray Computed Tomography (CT) [1, 3]. The limits of these methods appear when the number of projections is small, and/or not equidistributed around the object. In this specific context, iterative algebraic methods are implemented. A great number of them are mainly based on least square criterion. Recently, we proposed a regularized version based on Bayesian estimation approach. The main problem that appears when using such methods as well as any iterative algebraic methods is the computation time and especially for projection and backprojection steps. In this paper, first we show how we implemented some main steps of such algorithems which are the forward projection and backward backprojection steps on GPU hardware, and then we show some results on real application of the 3D tomographic reconstruction of metallic foams from a small number of projections. Through this application, we also show the good quality of results as well as a significant speed up of the computation with GPU implementation.

Mots clés: Computed Tomograhy (CT); Iterative 3D reconstruction; Bayesian estimation; GPU implementation

Domaines: Imagerie médicale; Calcul parallèle, distribué et partagé [cs.DC]; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Nicolas Gac, Alexandre Vabre, Ali Mohammad-Djafari, Asier Rabanal, Fanny Buyens. GPU implementation of a 3D bayesian CT algorithm and its application on real foam reconstruction. The First International Conference on Image Formation in X-Ray Computed Tomography, Jun 2010, Salt Lake City, United States. pp.151-155. ⟨hal-00504740v2⟩