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

Authors:
Laura Antonelli;L. Carracciuolo;Marco Ceccarelli;Luisa D'Amore;Almerico Murli
Affiliations:
-;-;-;-;-
Venue:
ICCS '02 Proceedings of the International Conference on Computational Science-Part II
Year:
2002

Citing 5
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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.