Method and apparatus for processing image data in a medical imaging system

An apparatus for performing image data processing in a medical imaging system, the apparatus comprising:

• processing circuitry configured to
• collect a first image dataset,
• using the collected first image dataset, train a first neural network, based on a loss function having a perceptual component, and
• using the trained first neural network, infer output image data from input image data obtained by the medical imaging system, such that the inferred output image data has an image quality better than an image quality of the obtained input image data,
• wherein the training of the first neural network uses a pretrained second neural network, and the pretrained second neural network is specific to a particular domain to which the medical imaging system corresponds.

A non-transitory computer readable medium having instructions stored therein that, when executed by one or more processors, cause the one or more processors to perform a method for performing image data processing in a medical imaging system, the method comprising:

• collecting a first image dataset;
• using the collected first image dataset, training a first neural network, based on a loss function having a perceptual component;
• and
• using the trained first neural network, inferring output image data from input image data obtained by the medical imaging system, such that the inferred output image data has an image quality better than an image quality of the obtained input image data,
• wherein the training of the first neural network uses a pretrained second neural network, and the pretrained second neural network is specific to a particular domain to which the medical imaging system corresponds.