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)

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

Organization Name

Siemens Healthcare GmbH

Inventor(s)

Manasi Datar of Erfurt (DE)

Ramyar Biniazan of Nuernberg (DE)

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.