Analysis of medical images: the MAGIC-5 Project
P. Cerello · 2011
The MAGIC-5 Project focuses on the development of analysis algorithms for the automated detection of anomalies in medical images, compatible with the use in a distributed environment.Presently, two main research subjects are being addressed: the detection of nodules in low-dose high-resolution computed tomographies of the lung and the analysis of brain MRIs for the segmentation and classification of the hyppocampus as an early marker of the Alzheimer's disease.MAGIC-5 was started by a community of high energy physics software developers, still in constant contact with -some of them also involved in -HEP projects.Some of the MAGIC-5 results, obtained with a newly developed model based on virtual ant colonies for the segmentation of complex structures, will be presented and discussed.The project takes advantage of a close collaboration with representatives of the medical community, that set requirements in terms of performance and functionality.Future developments are focusing more and more on the analysis of neuroimages, trying to exploit at best the huge amount of morphological and functional information generated by MRI and PET imaging.