Abstract

Multi-modal imaging biomarkers represent a significant advancement in diagnostic precision, combining multiple imaging techniques to provide a comprehensive assessment of disease states. This review explores the integration of various imaging modalities—such as MRI, CT, PET, and ultrasound—into unified biomarker approaches that enhance diagnostic accuracy and treatment planning. By leveraging the strengths of each imaging technique, multi-modal imaging biomarkers offer a more detailed and nuanced understanding of complex conditions, allowing for better differentiation of disease types and more accurate monitoring of treatment responses. The review highlights key methodologies for combining imaging modalities, including data fusion techniques and the development of hybrid imaging systems. It discusses the benefits of multi-modal imaging in various clinical applications, such as oncology, neurology, and cardiology, where detailed anatomical and functional information is crucial for accurate diagnosis and personalized treatment. Additionally, the review addresses the technical and logistical challenges associated with multi-modal imaging, such as data integration, image registration, and standardization of protocols.