AI Artery Vein Separation 4D Medical Imaging
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Solution Overview
Problem
Current medical imaging technologies, such as CT and MRI, struggle to accurately and efficiently image blood vessels due to ambiguous two-dimensional representations, necessitating improved methods for artery and vein visualization.
Innovation Solution
The method involves determining a bitmap data source from scanned images, generating target medical image data that separates artery and vein data sets, and performing 4D medical imaging to achieve an overall separation image effect, utilizing AI processing and VRDS technology to enhance image accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If two-dimensional slice data is used to form blood vessel images, then the imaging process is simple, but the image clarity and accuracy deteriorate
Solution Approach 1:
The patent transitions from two-dimensional slice data to four-dimensional medical images by adding temporal and spatial dimensions. The 4D imaging technology reconstructs blood vessels in three-dimensional space with time-based blood flow dynamics, transforming ambiguous 2D representations into clear 3D+time visualizations that maintain vascular structure integrity and improve diagnostic accuracy
2Reliability
If traditional imaging technologies are used, then the equipment and methods are well-established, but the imaging accuracy and efficiency of blood vessels deteriorate
Solution Approach 1:
The patent replaces traditional mechanical imaging methods with AI-based processing systems. Neural networks and deep learning algorithms automatically segment and reconstruct blood vessel structures from medical images, substituting manual or conventional computational methods with intelligent systems that improve accuracy in distinguishing arteries from veins while maintaining system reliability
Solution Approach 2:
The patent combines multiple imaging modalities and data types to create composite medical images. By integrating information from different imaging sources and processing them through AI algorithms, the system achieves superior blood vessel visualization that leverages the strengths of various imaging technologies while compensating for their individual limitations
3Ease of operation
If artery and vein data are processed together, then the processing workflow is simplified, but the separation and identification accuracy deteriorates
Solution Approach 1:
The patent applies segmentation by separating artery and vein data processing into distinct computational pathways. The AI system identifies and segments different blood vessel types based on anatomical features and blood flow characteristics, processing each type with specialized algorithms that optimize separation accuracy while maintaining an automated workflow that simplifies overall operation
Data Source
AI summary
A method and a product for AI processing of artery and vein based on VRDS 4D medical images, the method is applied to a medical imaging apparatus, and the method includes: the medical imaging apparatus first determines a bitmap (BMP) data source according to a plurality of scanned images of a target site of a target user, second generates target medical image data according to the BMP data source, and finally performs 4D medical imaging according to the target medical image data, wherein the target medical image data includes at least a data set of a blood vessel in the target site, and a data set of a vein is a transfer function result of a cubic space of a surface of the vein and a tissue structure inside the vein, and an intersection position of the artery and a vein presents an overall separation image effect.