COMPUTER-IMPLEMENTED METHOD FOR PROVIDING A POSITIONING SCORE REGARDING A POSITIONING OF AN EXAMINING REGION IN AN X-RAY IMAGE
One or more example embodiments of the present invention relates to Computer-implemented method for providing a positioning score regarding a positioning of an examining region in an X-ray image, comprising receiving input data, the input data comprising an X-ray image including the examining region; applying a first trained function to the input data to detect at least one region of interest in the X-ray image and to generate a heatmap comprising the at least one region of interest; applying a second trained function to the input data and the heatmap to generate an individual score for each of the at least one region of interest and to generate a score-weighted heatmap based on the at least one region of interest and the individual scores; applying a third trained function to the input data and the score-weighted heatmap to generate a positioning score; and providing the positioning score.
1 . A computer-implemented method for providing a positioning score regarding a positioning of an examining region in an X-ray image, comprising:
receiving input data, the input data comprising an X-ray image including the examining region;
applying a first trained function to the input data to detect at least one region of interest in the X-ray image and to generate a heatmap comprising the at least one region of interest;
applying a second trained function to the input data and the heatmap to generate an individual score for each of the at least one region of interest and to generate a score-weighted heatmap based on the at least one region of interest and the individual scores;
applying a third trained function to the input data and the score-weighted heatmap to generate a positioning score; and
providing the positioning score.
2 . The method of claim 1 , wherein the X-ray image is a two-dimensional X-ray image.
3 . The method of claim 1 , wherein the first trained function is based on an object detection network.
4 . The method of claim 1 , wherein at least one of the second trained function or the third trained function is based on a classifier or a regression model.
5 . The method of claim 4 , further comprising:
modifying an initial convolution layer to focus network attention based on at least one of the heatmap or the score-weighted heatmap.
6 . The method of claim 1 , further comprising:
displaying at least one of the heatmap or the at least one region of interest.
7 . The method of claim 1 , wherein at least one of the heatmap or the at least one region of interest is adjustable.
8 . The method of claim 1 , wherein the positioning score describes a rotation of the examining region.
9 . The method of claim 1 , wherein the examining region comprises a knee, a thorax, or a breast.
10 . A scoring system, comprising:
a first interface configured to receive input data, the input data comprising an X-ray image including the examining region;
a first computation unit configured to apply a first trained function to the first input data to generate first output data, to detect at least one region of interest in the X-ray image and to generate a heatmap comprising the at least one region of interest;
a second computation unit configured to apply a second trained function to the input data and the heatmap to generate an individual score for each of the at least one region of interest and to generate a score-weighted heatmap based on the at least one region of interest and the individual scores;
a third computation unit configured to apply a third trained function to the input data and the score-weighted heatmap and to generate a positioning score; and
a second interface configured to provide the positioning score.
11 . A non-transitory computer program product comprising instructions which, when executed by a scoring system, cause the scoring system to perform the method of claim 1 .
12 . A non-transitory computer-readable medium comprising instructions which, when executed by a scoring system, cause the scoring system to perform the method of claim 1 .
13 . An X-ray system comprising the scoring system of claim 10 .
14 . The X-ray system of claim 13 , wherein the X-ray system is a radiography system or a mammography system.
15 . The method of claim 2 , wherein the first trained function is based on an object detection network.
16 . The method of claim 15 , wherein at least one of the second trained function or the third trained function is based on a classifier or a regression model.
17 . The method of claim 16 , further comprising:
modifying an initial convolution layer to focus network attention based on at least one of the heatmap or the score-weighted heatmap.
18 . The method of claim 17 , further comprising:
displaying at least one of the heatmap or the at least one region of interest.
19 . The method of claim 18 , wherein at least one of the heatmap or the at least one region of interest is adjustable.
20 . The method of claim 19 , wherein the positioning score describes a rotation of the examining region.