Canon Medical Systems Corporation

Toshiba Medical Systems Corporation

James Sloan

Keith Goatman

Owen Anderson

An apparatus comprises processing circuitry configured to receive a plurality of training image data sets and a plurality of predetermined displacements. The processing circuitry is further configured to use the training image data sets and predetermined displacements to train a transformation regressor 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.

Registration method and apparatus

An apparatus comprises processing circuitry configured to receive first image data; receive second medical image data; and apply a transformation regressor to perform a registration process to obtain a predicted displacement 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 displacements, and a discriminator training process in which the discriminator is trained to distinguish between predetermined displacements and displacements predicted by the transformation regressor.

There is provided an apparatus comprising processing circuitry configured to: receive first medical image data obtained using a first type of imaging procedure, wherein the first medical image data is representative of an anatomical region of a subject; and apply a simulator to perform a simulation process on the first medical image data to obtain simulated second medical image data, the simulated second medical image data having properties so as to simulate image data that is obtained using a second type of imaging procedure. The simulator comprises an image synthesizer that is trained in combination with a discriminator in an adversarial fashion by repeatedly alternating an image synthesizer training process in which the image synthesizer is trained to produce simulated medical image data, and a discriminator training process in which the discriminator is trained to distinguish between real medical image data and simulated medical image data.

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Edinburgh, United Kingdom

James Sloan