18476643. COMPUTER-IMPLEMENTED METHOD FOR A POST-ACQUISITION CHECK OF AN X-RAY IMAGE DATASET simplified abstract (Siemens Healthcare GmbH)
Contents
- 1 COMPUTER-IMPLEMENTED METHOD FOR A POST-ACQUISITION CHECK OF AN X-RAY IMAGE DATASET
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 COMPUTER-IMPLEMENTED METHOD FOR A POST-ACQUISITION CHECK OF AN X-RAY IMAGE DATASET - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
COMPUTER-IMPLEMENTED METHOD FOR A POST-ACQUISITION CHECK OF AN X-RAY IMAGE DATASET
Organization Name
Inventor(s)
Andreas Fieselmann of Erlangen (DE)
Christian Huemmer of Lichtenfels (DE)
Ramyar Biniazan of Nuernberg (DE)
COMPUTER-IMPLEMENTED METHOD FOR A POST-ACQUISITION CHECK OF AN X-RAY IMAGE DATASET - A simplified explanation of the abstract
This abstract first appeared for US patent application 18476643 titled 'COMPUTER-IMPLEMENTED METHOD FOR A POST-ACQUISITION CHECK OF AN X-RAY IMAGE DATASET
Simplified Explanation
The abstract describes a computer-implemented method that involves receiving input data, applying a trained function to generate output data, and comparing metadata before providing the output data.
- The method involves processing X-ray image datasets with metadata.
- Trained functions are used to analyze and compare metadata.
- Output data is provided based on the comparison of metadata.
Potential Applications
This technology could be applied in medical imaging for analyzing X-ray images and metadata, potentially improving accuracy and efficiency in diagnosing medical conditions.
Problems Solved
This technology helps to confirm or suggest corrections to metadata associated with X-ray images, ensuring accurate and reliable data analysis in medical imaging.
Benefits
The method can enhance the accuracy of medical image analysis by cross-referencing metadata, leading to more reliable diagnostic results.
Potential Commercial Applications
"Enhancing Medical Image Analysis with Metadata Comparison Technology"
Possible Prior Art
There may be prior art related to image processing algorithms that compare metadata to improve data analysis in various fields.
What are the potential limitations of this technology in real-world applications?
Real-world implementation of this technology may face challenges related to the accuracy and reliability of the trained functions used to analyze metadata in X-ray images.
How does this technology compare to existing methods for analyzing X-ray image datasets?
This technology offers a unique approach by focusing on comparing metadata to ensure data accuracy, which may provide more reliable results compared to traditional methods that do not emphasize metadata comparison.
Original Abstract Submitted
A computer-implemented method comprises: receiving input data, wherein the input data includes the X-ray image dataset, which includes an X-ray image and first metadata; applying a trained function to the input data to generate output data, wherein the output data includes second metadata, and wherein the first metadata and the second metadata are compared; and providing the output data, wherein the first metadata are confirmed in case the first metadata and the second metadata agree, or the first metadata are suggested to be corrected with the second metadata in case the first metadata and the second metadata do not agree.
