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Clinical diagnosis environments often require the availability of processed data in real-time, unfortunately, reconstruction times are prohibitive on conventional computers, neither the adoption of expensive parallel computers seems to be a viable solution. Here, we focus on development of mathematical software on high performance architectures for Total Variation based regularization reconstruction of 3D SPECT images. The software exploits the low-cost of Beowulf parallel architectures. The activity has been developed within the Project: “Inverse Problems in Medical Imaging” partially supported by MURST, grant number MM0111125

Total Variation Regularization for Edge Preserving 3D SPECT Imaging in High Performance Computing Environments