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1. WO2020109256 - ARTIFICIAL-INTELLIGENCE BASED REDUCTION SUPPORT

Note: Text based on automatic Optical Character Recognition processes. Please use the PDF version for legal matters

[ EN ]

CLAIMS

1. A method comprising the steps of

receiving a first X-ray projection image,

classifying a first object in the first X-ray projection image,

receiving a first model of the first object,

determining at least a partial representation of the first object and a localization of the first object relative to a coordinate system, by applying the first model to match the first object in the first X-ray image,

receiving a second X-ray projection image,

classifying a second object in the second X-ray projection image,

receiving a second model of the second object,

determining at least a partial representation of the second object and localization of the second object relative to the coordinate system, by applying the second model to match the second object in the second X-ray image,

determining a spatial arrangement of the second object relative to the first object.

2. The method of claim 1, further comprising the step of registering the X-ray images, taking into account a movement of the X-ray imaging device between an acquisition of the received first and second X-ray images.

3. The method of claim 2, wherein an amount of the movement of the X-ray imaging device is measured by sensors at the X-ray imaging device.

4. The method of any one of claims 1 to 3, the method further comprising the step of registering the X-ray images taking into account the geometry of at least one of the first and second models, with that model having at least portions extending into the first and the second X-ray image, respectively.

5. The method of any one of claims 1 to 4, the method further comprising the steps of classifying one further object in each received X-ray image, wherein different portions of that object extend into the received X-ray images, respectively, and registering the X-ray images based on a known geometry of that object.

6. The method of any one of claims 1 to 5, further including the step of transferring geometrical aspects from one of the first and second models to the respective object.

7. The method of claim 6, further including the step of defining a scale based on the geometrical aspects, for measuring dimensions relative to the coordinate system.

8. The method of any one of claims 1 to 7, wherein matching of the model with the classified object takes into account image characteristics of the X-ray projection image, wherein the image characteristics depend on at least one imaging parameter and include at least one out of the group consisting of a pillow effect, a curvature, noise, distortion, and the X-ray imaging generation method.

9. The method of any one of claims 1 or 8, wherein matching of the model with the classified object takes into account the effects of at least one out of the group of X-ray attenuation, absorption, and deflection.

10. A system for determining a 3D representation and localization of an object in an X-ray projection image with respect to a coordinate system, the system comprising a processing unit configured to execute a computer program product including sets of instructions causing the system to perform the method of any one of claims 1 to 9.

11. The system of claim 10, further comprising an X-ray imaging device.

12. The system of any one of claims 10 and 11, further comprising a database.

13. A computer program product including sets of instructions which, when executed on a processing unit of a system, cause the system to perform the method of any one of claims 1 to

9.