CEMI - Computational mEthods for Medical Imaging (n. 2022FHCNY3)
Type
PRIN 2022, D.D. n. 104 del 2 febbraio 2022
CUP
C53D23002460006
Principal Investigator
Cristina Campi (Università degli Studi di Genova)
Other research units
UO1 - Cristina CAMPI - Università degli Studi di GENOVA
UO2 - Wolfgang ERB - Università degli Studi di PADOVA
Duration
28/09/2023 - 28/02/2026
Description
The research project Computational mEthods for Medical Imaging (CEMI) investigates the implementation of computational methods for the reconstruction, analysis, modeling and interpretation of medical imaging data. The mathematical pillars of this project are the theory of inverse problems, data approximation and analysis, pattern recognition and compartmental analysis, while machine learning methods are employed both for the implementation of regularizers as well as for the classification and stratification of patients on the base of features extracted from biomedical images. This projects aims at building a series of computational tools for application in medicine, in particular to oncological diseases like brain tumors. We expect CEMI to have multidisciplinary impacts, both on a theoretical level with new results in numerical analysis and data processing methods, as well as in the applications to medicine. The research related to this last part will be carried out on real experimental medical imaging data, thanks to the fact that the project participants have very strong, long-lasting connections with clinical facilities. The units involved in this project are the Università di Genova and the Università di Padova. The PI of the project, Cristina Campi, is also affiliated to the IRCCS Ospedale Policlinico San Martino, Genova.
