Tissue Map

Tissue mapping aims to create detailed, quantitative representations of tissue composition and properties within an organ or body region, often from medical imaging data like MRI or CT scans. Current research focuses on improving the accuracy and efficiency of tissue map generation using advanced techniques such as deep learning models (including diffusion models, implicit neural representations, and physics-informed neural networks), often addressing challenges like limited data availability and computational cost. These advancements are crucial for improving diagnostic accuracy, enabling personalized medicine, and facilitating quantitative analysis of disease progression and treatment response across various medical fields.