MIBISOC

Medical Imaging Using Bio-inspired and Soft Computing

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 Obiettivo del progetto (Objective)

'Medical imaging (MI) is at the heart of many of today’s improved diagnostic and treatment technologies. Computer-based solutions are vastly more capable of both quantitative measurement of the medical condition and the pre-processing tasks of filtering, sharpening, and focusing image detail. Bio-inspired and Soft Computing (BC, SC) techniques have been successfully applied in each of the fundamental steps of medical image processing and analysis (e.g. restoration, segmentation, registration or tracking). The natural partnership of humans and intelligent systems and machines in MI is to provide the clinician with powerful tools to take better decisions regarding diagnostic and treatment. The main goal of the network is to create a training programme where the enrolled early-stage researchers (ESRs) will be exposed to a wide variety of SC and BC techniques, as well as to the challenge of applying them to different situations and problems within the different MI stages. A personalised, exhaustive and complementary programme will consist of: i) a personalised research plan based on individual research projects; ii) local and network-wide specific training courses, both in face-to-face and virtual modalities; iii) the network’s complementary skills courses, workshops and final conference; and iv) the international research stays among the different partners. The collaboration of experts from the area of MI with those working on BC and SC applications to computer vision will generate new and viable methods and solutions from the combined ideas of these communities. The presence of both research and technical partners in the network, including hospitals and companies, will provide the appropriate framework for application domain focused research. The trained ESRs will acquire a strong background for the development of intelligent systems based on BC-SC providing flexible application-oriented solutions to current MI problems in the clinical and research field.'

Introduzione (Teaser)

Improved ability to visualise and classify disease has significantly advanced diagnosis and treatment, and thus also patient outcomes. Highly qualified and expertly trained young researchers are now pushing the frontiers of medical imaging.

Descrizione progetto (Article)

Development and application of artificial intelligence techniques within the project 'Medical imaging using bio-inspired and soft computing' (http://www.mibisoc-itn.eu/ (MIBISOC)) have led to 32 journal publications. MIBISOC trained 16 early-stage researchers (ESRs) for 36 months in 8 world-class research groups. The training network balanced the expertise of universities, hospitals and companies, including two small and medium-sized enterprises.

The ESRs gained knowledge and experience leading to development of soft computing and bio-inspired computing techniques to solve medical imaging problems. Soft computing harnesses the power of computers and exploits it in a way that is robust to the nuances of biological systems (or other imprecise and complex systems). A similar field is bio-inspired computing, using algorithms modelled after non-traditional solutions found in nature to solve complex problems with inherent imprecision and uncertainty. ESRs also received invaluable practical training in areas such as project management, intellectual property rights, and uses in hospitals and companies.

Medical imaging used in research has enhanced understanding of a wealth of human diseases. Its application in hospitals has become instrumental in diagnosis and monitoring of diseases and their progression or response to treatment. Thirteen of the 16 newly trained ESRs received their PhDs through the MIBISOC training network. They are now in an excellent position to provide cutting-edge medical imaging solutions for the benefit of European citizens and the European health care system.