Objective The emphasis of this project lies in the development and evaluation of an intelligent and robust computer-assisted system for detecting and diagnosing breast lesions that present a non-mass-like enhancement and thus lead to a substantial improvement of the quality of breast MRI postprocessing, reduce the number of missed or misinterpreted cases leading to false-negative diagnosis, and avoid unnecessary biopsies for benign lesions or observation for malignant lesions.Non-mass-enhancing lesions represent a diagnostic challenge in breast MRI because of the high variance in morphological and kinetic characteristics and have a lower reported specificity and sensitivity than mass-enhancing lesions. Existing image analysis techniques have proven to be insufficient to capture the unique spatio-temporal behavior of these lesions and aid in the automated differential diagnosis of these lesions. We propose to develop, test and evaluate novel techniques for the detection and diagnosis of non-mass-like enhancing lesions and validate them in three specific experiments that will lead to a substantial improvement in diagnostic accuracy and efficiency.The mobility proposed in this project is for Prof. Anke Meyer-Baese, an expert in the field of pattern recognition techniques in medical imaging, to expand her skill set and research portfolio while working on a novel computer-aided diagnosis system for challenging breast lesions at the University of Maastricht, Department of Radiology in Netherlands. Prof. Meyer-Baese is a Full Professor at Florida State University, USA. A number of specific knowledge transferobjectives are outlined in this proposal. This project will have a strong impact on the European Research Area (ERA) through its innovative research goals, focused knowledge transfer and a new international collaboration, the training of medical and engineering students, and outreach measures. Fields of science medical and health sciencesclinical medicineradiologynatural sciencescomputer and information sciencesartificial intelligencepattern recognitionengineering and technologymedical engineeringdiagnostic imaging Programme(s) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Topic(s) FP7-PEOPLE-2013-IIF - Marie Curie Action: "International Incoming Fellowships" Call for proposal FP7-PEOPLE-2013-IIF See other projects for this call Funding Scheme MC-IIF - International Incoming Fellowships (IIF) Coordinator UNIVERSITEIT MAASTRICHT EU contribution € 243 847,80 Address MINDERBROEDERSBERG 4 6200 MD Maastricht Netherlands See on map Region Zuid-Nederland Limburg (NL) Zuid-Limburg Activity type Higher or Secondary Education Establishments Administrative Contact Judith Doomen Links Contact the organisation Opens in new window Website Opens in new window Total cost No data
