Cel During the past decades, exceptional progress was made with in vivo medical imaging technologies to capture the anatomical, structural and physiological properties of tissues and organs in a patient, with an ever increasing spatial and temporal resolution.The physician is now faced with a formidable overflow of information, especially when a time dimension is added to the already hard to integrate 3-D spatial, multimodal and multiscale dimensions of modern medical images. This increasingly hampers the early detection and understanding of subtle image modifications which can have a vital impact on the patient's health.To change this situation, this proposal introduces a new generation of computational models for the simulation and analysis of dynamic medical images. Thanks to their generative nature, they will allow the construction of databases of synthetic, realistic medical image sequences simulating various evolving diseases, producing an invaluable new resource for training and benchmarking. Leveraging on their principled biophysical and statistical foundations, these new models will bring a remarkable added clinical value after they are personalized with innovative methods to fit the medical images of any specific patient.By explicitly revealing the underlying evolving biophysical processes observable in the images, this approach will yield new groundbreaking image processing tools to correctly interpret the patient's condition (computer aided diagnosis), to accurately predict the future evolution (computer aided prognosis), and to precisely simulate and monitor an optimal and personalized therapeutic strategy (computer aided therapy). First applications will concern high impact diseases including brain tumors, Alzheimer's disease, heart failure and cardiac arrhythmia and will open new horizons in computational medical imaging. Dziedzina nauki medical and health sciencesclinical medicinecardiologycardiovascular diseasescardiac arrhythmiamedical and health sciencesbasic medicineneurologydementiaalzheimernatural sciencescomputer and information sciencesdatabasesengineering and technologymedical engineeringdiagnostic imaging Program(-y) FP7-IDEAS-ERC - Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Temat(-y) ERC-AG-PE6 - ERC Advanced Grant - Computer science and informatics Zaproszenie do składania wniosków ERC-2011-ADG_20110209 Zobacz inne projekty w ramach tego zaproszenia System finansowania ERC-AG - ERC Advanced Grant Instytucja przyjmująca INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE Wkład UE € 2 498 327,00 Adres DOMAINE DE VOLUCEAU ROCQUENCOURT 78153 Le Chesnay Cedex Francja Zobacz na mapie Region Ile-de-France Ile-de-France Yvelines Rodzaj działalności Research Organisations Kontakt administracyjny Marie Schiaffino (Ms.) Kierownik naukowy Nicholas Ayache (Dr.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych Beneficjenci (1) Sortuj alfabetycznie Sortuj według wkładu UE Rozwiń wszystko Zwiń wszystko INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE Francja Wkład UE € 2 498 327,00 Adres DOMAINE DE VOLUCEAU ROCQUENCOURT 78153 Le Chesnay Cedex Zobacz na mapie Region Ile-de-France Ile-de-France Yvelines Rodzaj działalności Research Organisations Kontakt administracyjny Marie Schiaffino (Ms.) Kierownik naukowy Nicholas Ayache (Dr.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych
