Physics-Informed Neural Network for Addressing Spatial and Temporal Resolution Problems in Magnetic Resonance Molecular-Imaging of Adult Brain Tumours

Magnetic Resonance Molecular Imaging (MRMI) is a powerful technique for studying brain tumours at the molecular level. However, achieving high spatial and temporal resolution remains challenging. In this chapter, we develop a novel approach for enhancing the precision of molecular imaging in the diagnosis and treatment of adult brain tumours. This leveraged the power of artificial intelligence, specifically Physics-Informed Neural Networks (PINNs), to address spatial and temporal resolution problems in Magnetic Resonance Molecular-Imaging.