1. A system for generating a pseudo-CT prediction model, comprising: a database configured to store training data comprising multi-channel Magnetic Resonance (MR) data and Computerized Tomography (CT) data of a plurality of training subjects, each training subject having multiple MR images and at least one CT image; a processor communicatively coupled to the database for accessing information stored in the database; a memory communicatively coupled to the processor, the memory storing instructions that, when executed by the processor, configures the processor to perform operations comprising: accessing the database to retrieve the training data including multiple MR images and at least one CT image for each of the plurality of training subjects; for each training subject: determining at least one tissue parameter map based on the multiple MR images; and obtaining CT values based on the at least one CT image; and generating the pseudo-CT prediction model based on the tissue parameter maps and the CT values of the plurality of training subjects.