PhD student in 3D ultrasound multiparametric imaging

Duration : 3 years

Location: 2-10 rue d’Oradour-sur-Glane, 75015 Paris, France

Contact: send your CV to beatrice.walker@espci.fr

Breast cancer is diagnosed today using tissue samples called biopsies, so as to precisely characterize the tumour and determine the appropriate treatment. However, biopsies are costly and represent a major source of stress and discomfort for the patient. ERC project MUSCAD proposes a novel approach for characterizing breast tumour non-invasively, applying machine learning to multiparametric images of the tumour. Existing clinical imaging techniques are not sufficient for a precise diagnosis, but the recent development of advanced ultrasound techniques may change this paradigm. In particular, recently developed ultrasound imaging techniques can now capture fiber structure, tissue stiffness and vascularization, which are known to be abnormal in tumours. These techniques have never been applied in 3D together for the clinic.

This PhD project focuses on the development of a new clinical machine integrating these different techniques in an optimized and automated way for use in hospitals.

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