Basics of Image Processing

Ángel Alberich-Bayarri. Telecommunications Engineer with specialisation in electronics by the Technical University of Valencia and PhD in Biomedical Engineering for his research on the application of advanced image processing techniques to magnetic resonance imaging. Founder and CEO of Quibim (Quantitative Imaging Biomarkers in Medicine), company dedicated to the advanced analysis of medical images using artificial intelligence. He is the author of more than 90 scientific articles in prestigious international journals and inventor of 5+ patents. He is also the author of more than 100 communications to international congresses, editor of international books and author of 20+ book chapters. He has participated in a high number of international research projects and clinical trials. He is an active member of several scientific societies, among which stands out his participation as a member of the Board of Directors of the European Society of Medical Imaging Informatics (EUSOMII).  Fuensanta Bellvís Bataller, MS. Biomedical engineer specialized in Information and Communication Technologies. She has extensive experience in the field of companion diagnostics and medical imaging. She started her career in a start-up to develop a multidimensional tissue signature for brain tumors and worked as a software engineer optimizing the hospital management system tool used in her region. She started at Quibim as R&D engineer and is currently the VP of Clinical Studies, responsible of the department that manages clinical trials, observational studies and research projects in collaboration with biopharmaceutical companies and academic and research institutions, mainly in the areas of oncology/immunotherapy, rheumatology and neurology.

• Era of AI quantitative imaging.- Principles of image formation in the different modalities.- How to extract radiomic features from the image?.- Facts and needs to improve Radiomics reproductibility.- What is harmonization and how does it differ from standardization?.- Harmonization in the image domain.- Harmonization across MRI.- Harmonization in the features domain.- Selection of the optimal harmonization method(s) for the problem under study.- Conclusions.