AI Endoscope Vein Analysis Using VRDS 4D Medical Images
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Solution Overview
Problem
Current medical imaging technologies, such as CT and MRI, rely on two-dimensional slice data for diagnosis, which limits the intuitive understanding of four-dimensional structures, affecting the accuracy of disease diagnosis and the visualization of blood vessel structures without providing an intuitive and true four-dimensional representation.
Innovation Solution
The method and apparatus for AI endoscope analysis using VRDS 4D medical images generate and process data sets for blood vessels, kidneys, and hepatic portals, enabling 4D medical imaging without intravenous contrast agents or ionizing radiation, reducing operator dependence and enhancing repeatability and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If doctors use two-dimensional slice data for diagnosis, then the diagnosis process is simple, but the intuitive understanding of four-dimensional structures is limited
Solution Approach 1:
The patent transforms two-dimensional medical slice images into a four-dimensional virtual endoscopic view by adding spatial depth and temporal navigation dimensions. The system reconstructs three-dimensional blood vessel structures from 2D slices and enables four-dimensional visualization through interactive navigation, allowing doctors to observe internal structures as if entering the vessels, thus recovering the lost intuitive understanding while maintaining operational simplicity.
2Measurement precision
If traditional medical imaging technologies are used, then blood vessel structures can be visualized, but intravenous contrast agents and ionizing radiation are required
Solution Approach 1:
The patent extracts and removes the harmful elements (contrast agents and ionizing radiation) from the imaging process. Instead of relying on these traditional methods, the system uses existing medical slice images as input and applies computational algorithms to generate the virtual endoscopic views, thereby achieving blood vessel visualization without exposing patients to harmful substances or radiation.
Solution Approach 2:
The patent replaces the physical-mechanical imaging system (contrast agents and radiation-based CT/MRI) with a computational information processing system. The system uses image processing algorithms and virtual reality technology to reconstruct and visualize blood vessel structures from standard medical images, substituting physical intervention with digital computation.
3Adaptability or versatility
If manual analysis of medical images is performed, then flexibility is maintained, but operator technical level dependence increases
Solution Approach 1:
The patent implements an automated analysis system that performs the heavy lifting of image processing, reconstruction, and visualization without requiring manual intervention. The system automatically navigates through the blood vessel structures, generates four-dimensional views, and presents findings to the doctor, thereby reducing dependence on operator technical skill while maintaining flexibility through interactive capabilities.
Solution Approach 2:
The patent introduces an intelligent software intermediary between the raw medical images and the doctor's interpretation. This intermediary system automatically processes the images, reconstructs three-dimensional structures, and generates intuitive four-dimensional visualizations, serving as a reliable assistant that reduces variability caused by different operator skill levels while preserving the doctor's ability to explore and interpret findings.
Data Source
AI summary
A method and a product for AI endoscope analyzing of vein based on VRDS 4D medical images, which is applied to medical imaging apparatus, and the method includes: determining a bitmap (BMP) data source according to a plurality of scanned images of a target site of a target user, wherein the target site includes a target vein to be observed and an artery, a kidney and a hepatic portal associated with the target vein; generating first medical image data according to the BMP data source; generating second medical image data according to the first medical image data; processing the second medical image data to obtain target medical image data; extracting a data set of the target vein in the target medical image data; performing 4D medical imaging according to the data set of the target vein to display an internal image of the target vein.