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, the training data including a plurality of MR images and a CT image, the MR images being associated with different MR imaging protocols; 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, configure the processor to perform operations comprising: accessing the database to retrieve the training data; for the training subjects: obtaining MR imaging protocol parameters associated with the MR images; determining a plurality of intrinsic tissue parameters based on the MR imaging protocol parameters; generating tissue parameter maps for the intrinsic tissue parameters; and calculating, from the CT image, CT values corresponding to the tissue parameter maps; and generating a pseudo-CT prediction model based on the tissue parameter maps and the calculated CT values of the training subjects.