Invention Grant
- Patent Title: Method, learning apparatus, and medical imaging apparatus for registration of images
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Application No.: US16225774Application Date: 2018-12-19
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Publication No.: US10832392B2Publication Date: 2020-11-10
- Inventor: Pascal Ceccaldi , Tanja Kurzendorfer , Tommaso Mansi , Peter Mountney , Sebastien Piat , Daniel Toth
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Agency: Schiff Hardin LLP
- Main IPC: A61B34/37
- IPC: A61B34/37 ; G06T7/00 ; G06T11/00 ; G06N3/08 ; G06N20/20 ; G06N3/04

Abstract:
A method of training a computer system for use in determining a transformation between coordinate frames of image data representing an imaged subject. The method trains a learning agent according to a machine learning algorithm, to determine a transformation between respective coordinate frames of a number of different views of an anatomical structure simulated using a 3D model. The views are images containing labels. The learning agent includes a domain classifier comprising a feature map generated by the learning agent during the training operation. The classifier is configured to generate a classification output indicating whether image data is synthesized or real images data. Training includes using unlabeled real image data to training the computer system to determine a transformation between a coordinate frame of a synthesized view of the imaged structure and a view of the structure within a real image. This is done whilst deliberately reducing the ability of the domain classifier to discriminate between a synthesized image and a real image of the structure.
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