Data Fusion in the Field of Non Destructive Testing

This paper deals with the reconstruction of metallic blocks from gam- magraphic and ultrasonic data. The inverse problems that have to be faced are solved within a Bayesian framework. Firstly, the problem of 3D reconstruction from gammagraphies is discussed. Then, we propose a new deconvolution method for ultrasonic traces. Finally, we present a reconstruction method that accounts for both sets of data: the ultrasonic data is used to detect breaks in the object and those bounds are then incorporated in the prior model for the reconstruction from gammagraphies.