High performance edge-preserving regularization in 3D SPECT imaging

Authors:
A. Murli;L. D'Amore;L. Carracciuolo;M. Ceccarelli;L. Antonelli
Affiliations:
University of Naples Federico II, Naples, Italy;University of Naples Federico II, Naples, Italy;Institute of Chemistry and Technology of Polymers, CNR, Naples, Italy;University of Sannio, Benevento, Italy;University of Naples Federico II, Naples, Italy
Venue:
Parallel Computing
Year:
2008

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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.