The present invention describes a method for generation of training datasets for artificial intelligence (AI) applications in MRI (Magnetic Resonance Imaging), said method comprising - providing an MRI simulator; - providing input to the MRI simulator, said input being in the form of a pulse sequence and a computer-based anatomical model; - executing the MRI simulator and thus producing a simulated artificial MR image; - repeating the same procedure with different pulse sequences and/or the same pulse sequence, wherein when using the same pulse sequence then amending the characteristics of the same pulse sequence and/or amending the characteristics of the MR simulation when executing the MRI simulator; - optionally also by amending the characteristics of the anatomical model; - optionally also by amending the position and/or orientation of a plane/volume of interest of the anatomical model; - optionally also by amending the characteristics of the MR simulation when executing the MRI simulator; - obtaining produced MR images; - producing a label map for each MR image; and - obtaining a training dataset based on all obtained produced MR images and/or label maps.
METHOD FOR AI APPLICATIONS IN MRI SIMULATION