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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 ...
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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 ...
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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...
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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...