Sparse Image Representation for JET Neutron and Gamma Tomography

The JET gamma/neutron profile monitor plasma coverage of the emissive region enables tomographic reconstruction. However, due to the availability of only two projection angles and to the coarse sampling, tomography is a highly limited data set problem. A new reconstruction method, based on the sparse representation of the reconstructed image in an over-complete dictionary, has been developed and applied to JET neutron/gamma tomography. The method has been tested on JET experimental data and results concerning the reconstruction of DT emissivity profile are presented. The proposed method provides good reconstructions in terms of shapes and resolution and produces artifact free images.
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