In General

EuSoMII webinar: ‘Radiomics: principles and challenges’ by Laure Fournier. 23th May 2018 at 6pm CET.

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Radiomics is a new ‘data-driven’ approach for extracting large sets of complex descriptors from routine (or not) clinical images. Advanced methods of image processing are applied to images to extract a large number of descriptors, such as texture analysis from histograms, co-occurrence matrices, fractal analysis, etc…  This large set of data can be analysed using bio-informatics and bio-statistics methods defining imaging ‘profiles’ correlated to gene expression profiles, often called radiogenomics, or to outcomes, such as treatment response or survival. The further development of these new methods faces challenges regarding data generation and access.

Laure Fournier works as an Associate Professor at the Hôpital Européen Georges Pompidou, in Paris, France. Her time is divided between clinical work, specialising in urological and gynaecological cancers, and imaging research in the Laboratoire de Recherche en Imagerie (INSERM U970). She is pursuing work on techniques of functional computed tomography (CT) and magnetic resonance imaging (MRI) in patients, to extract quantitative parameters from images reflecting tumour physiology and biology. Her main field of interest is defining response to therapy, in particular for targeted therapies which require development of new response criteria.



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