Computer Vision News - January 2021

11 Elisa Roccia In my PhD work, I aimed to address these limitations and developed a new three- dimensional MRI technique , which provides accurate quantitative information about the underlying tissue. I focused on two important MRI biomarkers called “ T 2 ” and “ ADC ”, which encode key cancer features such as tumor density into the image signal intensity . Using these data, I then applied a dictionary matching algorithm based on MRI signal simulations to extract accurate quantitative parametric maps , and validated the proposed method in prostate cancer patients. This 3D MRI technique has the potential to improve reporting workflows and help the NHS move towards personalized precision diagnosis and treatment planning. This work, co-authored by supervisors Isabel Dregely and Vicky Goh , was published in Magnetic Resonance in Medicine and was awarded the Silver Medal in the Engineering category at the STEM for Britain competition , which was held at the Houses of Parliament in March 2020. Follow the links for the full paper on 3D T2 mapping and the full paper on 3D ADC mapping.