Grant: Project Grant

In this work, we aim to improve quantitative accuracy of PET scans used for imaging of patients with lymphoma, a cancer that begins in cells of the lymph system. We aim to measure the volume of tumors in the patients, which is a measure that has potential for much improved assessment of disease, and we aim to achieve this in a fully automated way using artificial intelligence (AI) based methods, and to routinely report this measure to our clinicians in our systems in the clinic. In addition, we aim to extract and study different features from the images in order to demonstrate which features, or their combinations as obtained using AI-based methods, can better predict patient outcomes and enable potentially improved personalization of therapy for lymphoma patients. Our proposed study includes participation of multiple international collaborators with extensive data from lymphoma cancer patients for improved assessment of our developed techniques.