Keywords: Simulations, Data Acquisition, MRI Dose SimulationIn Gadolinium-based contrast agents (GBCAs) assisted MRI scans, dose simulation is a significant task that enables understanding of the perfusion process. In this work, we propose a new transformer-based iterative model to generate MRI images with arbitrary contrast dosages. By using datasets where only 0%, 10%, and 100% dose images are available, the proposed model can synthesize quantitatively and qualitatively accurate MRI images of varying dosages. The simulated images can be used for other downstream tasks like developing reduced-dose acquisitions and finding the minimum dose needed for a given pathology.
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