Breast cancer is frequent and life threatening, but curable if detected early. Early detection and comprehensive characterisation of findings require optimised imaging and image understanding to maximise detection of significant disease while preventing overdiagnosis. Personalised predictive modeling of breast cancer allows treatment stratification, preventing unnecessary and unsuccessful treatments.

VPH-PRISM addresses these key topics with integrated multidisciplinary, multi-scale ICT modeling of breast tissue microstructure in the context of environmental, genetic, and clinical factors.

Started in March, 2013, the project will run over 36 months.

Funding information

The research leading to these results has received funding from the European Community's Seventh Framework Programme(FP7/2007-2013) under grant agreement n°601040.

Segmentation of a breast MR image to enable the region of the breast to be defined and the constituent breast tissue types identified, prior to further analysis and modelling.