Better MRI videos thanks to new machine learning method

Medical imaging using magnetic resonance imaging (MRI) is very time-consuming since an image has to be compiled from data from many individual measurements. Thanks to the use of machine learning, imaging is also possible with less MRI measurement data, which saves time and costs. However, the prerequisite for this is perfect images that can be used to train the AI models. Such perfect training images do not exist for certain applications, such as real-time (moving image) MRI, as such images are always somewhat blurred. An international research team has now succeeded in generating precise live MRI images of the beating heart even without such training images and with very little MRI data with the help of smartly trained neural networks. Thanks to these improvements, real-time MRI could be used more frequently in practice in the future.