3D X-ray Imaging Segmentation for Diagnostic Accuracy
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Solution Overview
Problem
Current X-ray medical diagnostic methods, such as mammography, result in a high number of unnecessary follow-up examinations, which are time-consuming and costly, with only a small fraction leading to cancer diagnosis, due to the large number of patients recalled for further evaluations despite low cancer prevalence.
Innovation Solution
A method and apparatus that record three-dimensional X-ray image data in a single measurement, allowing for the creation of both two-dimensional and three-dimensional X-ray images with high spatial resolution and minimal radiation exposure, enabling the analysis of two-dimensional images first to determine if further three-dimensional images are necessary, thus reducing the number of follow-up measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only two-dimensional X-ray images are used for screening, then the examination process is simple and fast, but the diagnostic accuracy is insufficient leading to high recall rates
Solution Approach 1:
The examination process is segmented into two stages: initial screening using simple two-dimensional images, and follow-up examination using three-dimensional images only for patients showing abnormalities. This segmentation allows the system to maintain high diagnostic accuracy while avoiding the complexity of three-dimensional imaging for all patients.
Solution Approach 2:
Two-dimensional X-ray images are used as a preliminary screening tool to identify patients with potential abnormalities before committing to more complex and resource-intensive three-dimensional imaging. This preliminary action filters out the majority of patients who do not require further examination.
2Reliability
If three-dimensional X-ray images are recorded for all patients, then diagnostic accuracy is improved, but the number of follow-up examinations and costs increase significantly
Solution Approach 1:
Instead of applying three-dimensional imaging to all patients (excessive action), the system applies it only partially to patients who show abnormalities in the initial two-dimensional screening. This partial application maintains diagnostic accuracy for those who need it while improving overall system efficiency.
Solution Approach 2:
The two-dimensional images serve as a self-service filtering mechanism that automatically identifies which patients require further three-dimensional examination, reducing the burden on medical resources and improving examination efficiency.
3Reliability
If follow-up examinations are performed for all recalled patients, then comprehensive diagnosis is ensured, but time and resources are wasted on patients without cancer
Solution Approach 1:
Three-dimensional images are prepared in advance and can be immediately displayed for patients who show abnormalities in two-dimensional screening, eliminating the need for separate follow-up measurement appointments and reducing time loss.
Solution Approach 2:
The system uses feedback from the analysis of two-dimensional images to determine which patients require three-dimensional imaging, creating a closed-loop process that directs resources only to those who need them, thereby reducing unnecessary time and resource consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly reduces the number of patients recalled for further examinations, saving time and resources while maintaining high diagnostic accuracy, as only patients with abnormalities in two-dimensional images require further three-dimensional analysis.
Implementation Method 1
three-dimensional X-ray image data of the object are recorded in a single measurement
Data Source
AI summary
A method for creating, displaying, and analyzing X-ray images of a plurality of objects is disclosed. The method comprising, for each of the objects recording three-dimensional X-ray image data of the object in a single measurement; creating a three-dimensional X-ray image of the object from the three-dimensional X-ray image data; creating one or two two-dimensional X-ray images of the object from the three-dimensional X-ray image data; displaying the one or two two-dimensional X-ray images of the object; and analyzing the one or two two-dimensional X-ray images of the object. For a subset of the plurality of objects the three-dimensional X-ray image of the object is displayed, wherein the subset of the plurality of objects is determined based on the step of, for each of the objects, analyzing the one or two two-dimensional X-ray images of the object.