Registration method and apparatus

A method comprising:

• receiving first image data;
• receiving second image data;
• and
• applying a transformation regressor to perform a registration process to obtain a predicted displacement that is representative of a transformation between the first medical image data and the second medical image data;
• wherein the transformation regressor is trained in combination with a discriminator in an adversarial fashion by repeatedly alternating a transformation regressor training process in which the transformation regressor is trained to predict displacements, and a discriminator training process in which the discriminator is trained to distinguish between predetermined displacements and displacements predicted by the transformation regressor.

An apparatus comprising processing circuitry configured to:

• receive first image data and second image data, wherein the first image data and second image data have been acquired from first and second imaging devices that are offset in position such that the first image data and second image data are representative of a stereo image;
• and
• apply a transformation regressor to perform a depth analysis process to obtain a predicted depth field that is representative of a transformation between the first image data and the second image data;
• wherein the transformation regressor is trained in combination with a discriminator in an adversarial fashion by repeatedly alternating a transformation regressor training process in which the transformation regressor is trained to predict depth fields, and a discriminator training process in which the discriminator is trained to distinguish between predetermined depth fields and depth fields predicted by the transformation regressor.