Method for ai applications in mri simulation

Abstract

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.

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