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    Chapter and Conference Paper

    A new multi-resolution optimization algorithm for PET - CT cardiac images registration

    Cardiac image fusion is the combination of medical images of heart acquired by different modalities. A prerequisite for image fusion is the image registration process, that allows the spatial alignment of the ...

    M. Marinelli, F. Tucci, V. Positano in World Congress on Medical Physics and Biom… (2010)

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    Chapter and Conference Paper

    Mutual Information Preconditioning Improves Bayesian Networks Learning of Medical Databases

    Bayesian Networks represent one of the most successful tools for medical diagnosis and therapies follow-up. We present an algorithm for Bayesian network structure learning, that is a variation of the standard ...

    A. Meloni, A. Ripoli, V. Positano in World Congress on Medical Physics and Biom… (2010)

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    Chapter and Conference Paper

    Fast and quantitative analysis of 4D cardiac images using a SMP architecture

    In the present research a parallel algorithm for medical image processing has been proposed, which allows 3D quantitative analysis of left ventricular cardiac wall motion in real time. It is a fundamental task...

    V. Positano, M. F. Santarelli, L. Landini in Applied Parallel Computing Large Scale Sci… (1998)

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    Chapter and Conference Paper

    A parallel system for dynamic 3D medical imaging

    The objective of this research was to develop a parallel code for high performance dynamic volume rendering of medical images, starting from 2D image sequences. The availability of a parallel supercomputer ena...

    M. F. Santarelli, V. Positano, L. Landini in High-Performance Computing and Networking (1997)