The aim of this project is to develop a new concept of "virtual histology", which is a new way to use magnetic resonance imaging to measure the tissue composition and structure. The concept uses and extends magnetic imaging method called Magnetic Resonance Fingerprinting (MRF) and combines it with a deep-learning based artificial intelligence (AI) methods. The proposed approach allows to measure disease-induced changes in tissues non-invasively based on their "fingerprints" in a streamlined "two-minute MR scan". This has the capacity to revolutionize radiological diagnosis by making MRI based exams faster and more objective. It can significantly improve the detection of diseases, support the development of future automated diagnosis approaches and reduce the need for of invasive biopsies.

2023

2027