Computer-implemented method, device, system and computer program product for processing anatomic imaging data

A system (2) comprising a computing device (10) comprising a processing unit (16) configured to;

• acquire 3D imaging data of a specific body part of an anatomic specimen of the plurality of anatomic specimens;
• acquire 2D images of the specific body part of the anatomic specimen from a plurality of different perspectives with respect to the specific body part;
• determine plurality of camera matrices P corresponding to the acquired 2D images, whereby the camera matrices P are indicative as least of the perspective of the 2D images with respect to the specific body part;
• generate synthetic 2D images by projecting the acquired 3D images data in accordance with the plurality of camera matrices P;
• associate the acquired 2D images with one of the synthetic 2D images as training data pairs in accordance with the plurality of camera matrices P;
• and
• generate a training dataset for use in training an artificial intelligence algorithm for processing anatomic imaging data using the training data pairs for a plurality of anatomic specimens.

A non-transitory computer-readable media, comprising instructions, which, when carried out by a processing unit (16) of a computing device (10), cause the computing device (10) to;

• acquire 3D imaging data of a specific body part of an anatomic specimen of the plurality of anatomic specimens;
• acquire 2D images of the specific body part of the anatomic specimen from a plurality of different perspectives with respect to the specific body part;
• determine plurality of camera matrices P corresponding to the acquired 2D images, whereby the camera matrices P are indicative as least of the perspective of the 2D images with respect to the specific body part;
• generate synthetic 2D images by projecting the acquired 3D images data in accordance with the plurality of camera matrices P;
• associate the acquired 2D images with one of the synthetic 2D images as training data pairs in accordance with the plurality of camera matrices P;
• and
• generate a training dataset for use in training an artificial intelligence algorithm for processing anatomic imaging data using the training data pairs for a plurality of anatomic specimens.