View source for 18476533. COMPUTER-IMPLEMENTED METHOD FOR PROVIDING A POSITIONING SCORE REGARDING A POSITIONING OF AN EXAMINING REGION IN AN X-RAY IMAGE simplified abstract (Siemens Healthcare GmbH)

=COMPUTER-IMPLEMENTED METHOD FOR PROVIDING A POSITIONING SCORE REGARDING A POSITIONING OF AN EXAMINING REGION IN AN X-RAY IMAGE=


==Organization Name==

[[:Category:Siemens Healthcare GmbH|Siemens Healthcare GmbH]]


[[Category:Siemens Healthcare GmbH]]

==Inventor(s)==

[[:Category:Manasi Datar of Erfurt (DE)|Manasi Datar of Erfurt (DE)]][[Category:Manasi Datar of Erfurt (DE)]]

[[:Category:Ramyar Biniazan of Nuernberg (DE)|Ramyar Biniazan of Nuernberg (DE)]][[Category:Ramyar Biniazan of Nuernberg (DE)]]

[[:Category:Peter Zerfass of Fuerth (DE)|Peter Zerfass of Fuerth (DE)]][[Category:Peter Zerfass of Fuerth (DE)]]

==COMPUTER-IMPLEMENTED METHOD FOR PROVIDING A POSITIONING SCORE REGARDING A POSITIONING OF AN EXAMINING REGION IN AN X-RAY IMAGE - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18476533 titled 'COMPUTER-IMPLEMENTED METHOD FOR PROVIDING A POSITIONING SCORE REGARDING A POSITIONING OF AN EXAMINING REGION IN AN X-RAY IMAGE

==Simplified Explanation==

The abstract describes a computer-implemented method for providing a positioning score regarding a positioning of an examining region in an X-ray image. The method involves receiving input data, detecting regions of interest in the X-ray image, generating individual scores for each region of interest, and ultimately providing a positioning score.

* Input data received includes an X-ray image with the examining region.
* A first trained function is applied to detect regions of interest and generate a heatmap.
* A second trained function is applied to generate individual scores for each region of interest and a score-weighted heatmap.
* A third trained function is applied to generate a positioning score based on the input data and the score-weighted heatmap.

== Potential Applications ==
This technology could be applied in medical imaging for assessing the positioning of examining regions in X-ray images, potentially aiding in diagnostic accuracy and treatment planning.

== Problems Solved ==
This technology helps in automating the process of evaluating the positioning of examining regions in X-ray images, reducing the potential for human error and improving efficiency in medical imaging analysis.

== Benefits ==
- Improved accuracy in assessing the positioning of examining regions in X-ray images
- Enhanced efficiency in medical imaging analysis
- Potential for quicker diagnosis and treatment planning

== Potential Commercial Applications ==
"Computer-Implemented Method for Providing a Positioning Score in X-ray Images" could find applications in medical imaging software development, healthcare technology companies, and radiology departments looking to streamline their image analysis processes.

== Possible Prior Art ==
One possible prior art could be the use of machine learning algorithms in medical imaging analysis to detect regions of interest and generate scores for specific areas in X-ray images. 

=== Unanswered Questions ===

== How does this technology compare to traditional manual methods of assessing positioning in X-ray images? ==
This article does not provide a direct comparison between the proposed technology and traditional manual methods of assessing positioning in X-ray images. It would be interesting to know if the automated method is more accurate or efficient than manual methods.

== What are the limitations of this technology in real-world clinical settings? ==
The article does not address any potential limitations or challenges that may arise when implementing this technology in real-world clinical settings. It would be important to understand any constraints or issues that could affect the practical application of this method.


==Original Abstract Submitted==

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.



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