Sep 17 – 21, 2018
Department of Physics and Geology
Europe/Rome timezone
School on Open Science Cloud

Models and Algorithms in Medical Imaging

Sep 19, 2018, 9:00 AM
Physics Building (Department of Physics and Geology)

Physics Building

Department of Physics and Geology

via Pascoli, snc 06123 - Perugia (IT)


Alessandra Retico (PI)


Medical Imaging techniques rely on different physical principles to obtain signals from the human body. Medical images are more than pictures, they are data, and they can be explored through image analysis techniques to go well beyond the mere visual inspection by radiologists. Image processing and data mining techniques are used to extract useful information from medical images to assist clinicians in the diagnosis and follow up of diseases, and for the planning, guidance and monitoring of treatments. Significant progress has been made in the last few decades by applying data mining techniques to the problems of image segmentation, image registration, feature extraction and interpretation, relying on the typical instruments of the artificial intelligence, e.g. data driven models built with machine learning techniques. The latter are rapidly leaving space to deep learning applications, thanks to the recent availability of suitable computing power. An overview on the data mining approaches used in Medical Imaging will be provided, with realistic examples in the field of neuroimaging with magnetic resonance. The problems of data harmonisation and confounding parameters in multicenter studies will be highlighted, with particular reference to the ARIANNA project, which has built an interdisciplinary research platform for neuroimaging-based studies of Autism Spectrum Disorders.

Primary author

Presentation materials