We explore the feasibility of artificially adding an exam to an MRI scan protocol by synthesizing the desired exam from the acquired images. To achieve this, we both use a normal U-Net as well as a modified U-Net structure, which takes advantage of prior information of which exams of the protocol are most relevant to the high-resolution and low-resolution components of the desired contrast. We demonstrate results based on synthesizing T2 relaxation time maps using imaging data obtained from the Osteoarthritis Initiative.
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