We describe a parallel software for three-dimensional single photon emission computed tomography (SPECT) imaging. The software has been developed within a multi-disciplinary research activity aimed at improving both the mathematical models and the processing time in nuclear medicine. The numerical algorithm implements an edge-preserving regularization approach based on the total variation seminorm for solving the inverse and ill-posed problem describing the SPECT image reconstruction problem. The parallel software has been tested on a low-cost implementation of a parallel architecture made up of a Linux cluster (Beowulf). The proposed approach is compatible with diagnostic times in terms of availability of the results in a suitable turnaround time and of the overall cost of the system infrastructure.
High performance edge preserving regularization in 3D spect imaging / Murli, Almerico; D'Amore, Luisa; Carracciuolo, Luisa; Ceccarelli, M.; Antonelli, L.. - In: PARALLEL COMPUTING. - ISSN 0167-8191. - STAMPA. - 34:2(2008), pp. 115-132. [10.1016/j.parco.2007.12.004]
High performance edge preserving regularization in 3D spect imaging
MURLI, ALMERICO;D'AMORE, LUISA;CARRACCIUOLO, LUISA;M. Ceccarelli;
2008
Abstract
We describe a parallel software for three-dimensional single photon emission computed tomography (SPECT) imaging. The software has been developed within a multi-disciplinary research activity aimed at improving both the mathematical models and the processing time in nuclear medicine. The numerical algorithm implements an edge-preserving regularization approach based on the total variation seminorm for solving the inverse and ill-posed problem describing the SPECT image reconstruction problem. The parallel software has been tested on a low-cost implementation of a parallel architecture made up of a Linux cluster (Beowulf). The proposed approach is compatible with diagnostic times in terms of availability of the results in a suitable turnaround time and of the overall cost of the system infrastructure.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
