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 MM01111258
Total Variation Regularization for Edge Preserving 3D SPECT Imaging in High Performance Computing Environment / Antonelli, L.; Carracciuolo, L.; Ceccarelli, M.; D'Amore, Luisa; Murli, Almerico. - 2330:(2002), pp. 171-180. (Intervento presentato al convegno International Conference on Computational Science tenutosi a Amsterdam (Olanda) nel Aprile 2002) [10.1007/3-540-46080-2_18].
Total Variation Regularization for Edge Preserving 3D SPECT Imaging in High Performance Computing Environment
Ceccarelli M.;D'AMORE, LUISA;MURLI, ALMERICO
2002
Abstract
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 MM01111258I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
