Portal de Periódicos da CAPES

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

2002; Springer Science+Business Media; Linguagem: Inglês

10.1007/3-540-46080-2_18

1611-3349

Laura Antonelli, Luisa Carracciuolo, Michele Ceccarelli, Luisa D’Amore, A. Murli,

Radiomics and Machine Learning in Medical Imaging

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.