With the continuous advancement of science and technology, multimodal imaging methods are also developing. In the future, the fusion and analysis of multimodal imaging data will be more intelligent and automated, improving the accuracy and efficiency of diagnosis. For example, technologies based on deep learning and machine learning will be able to automatically perform image registration, segmentation and feature extraction, reduce manual intervention, and improve the consistency and reliability of diagnosis2.
In summary, multimodal imaging methods provide more comprehensive and accurate information for medical diagnosis by combining the advantages of multiple imaging technologies, and will further promote the development and application of medical imaging technology in the future.
