Transferring Information Across Medical Images Of Different Modalities

Multimodal analysis plays a pivotal role in medical imaging and has been recognized as an established tool in clinical diagnosis. This joint investigation allows for extracting various bits of information from images of different modalities, which can complement each other to provide a comprehensive view to the patient case. Since those images may be acquired using different protocols, their synchronization and transferring information, e.g., regions of interest (ROIs) between them is not trivial. In this paper, we derive the formulas for mapping ROIs between different modalities and show a real-life PET/CT example of such image processing.