AI Embolism Recognition Using 4D Medical Imaging
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Solution Overview
Problem
Current medical imaging technologies, such as CT and MRI, struggle to accurately present the spatial structure and edge characteristics of embolisms, relying on human experience for recognition, which is inefficient and inaccurate.
Innovation Solution
A method and apparatus using AI to recognize embolisms based on 4D medical images, involving the processing of BMP data sources to generate target medical image data, performing 4D medical imaging, and determining feature attributes like density, crawling direction, and edge characteristics to accurately identify embolism types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 2D slice data from CT or MRI is used to present embolism information, then the imaging process is simple and fast, but the spatial structure and edge characteristics of embolism cannot be clearly presented
Solution Approach 1:
The patent transforms 2D slice data into 4D medical images by adding temporal dimension through dynamic contrast enhancement. The imaging process includes pre-contrast phase, arterial phase, venous phase, and delayed phase, enabling three-dimensional spatial structure reconstruction and temporal dynamic observation, thus clearly presenting embolism spatial structure and edge characteristics that 2D data cannot achieve
2Measurement precision
If doctors rely on human experience to recognize embolism types, then the recognition process is straightforward, but the accuracy and efficiency are insufficient
Solution Approach 1:
The patent replaces human experience-based recognition with AI-based automated recognition system. The system extracts multiple feature attributes (density, crawling direction, correspondence with cancer focus site, edge characteristics) from 4D medical images and uses AI algorithms to automatically determine embolism types, achieving both high accuracy and efficient processing without relying on individual doctor experience
Data Source
AI summary
A method and a product for AI recognizing of embolism based on VRDS 4D medical image, the method is applied to a medical imaging apparatus, and the method includes the following steps: 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 an embolism formed on a wall of a target blood vessel; generating target medical image data according to the BMP data source; performing 4D medical imaging according to the target medical image data and determining a feature attribute of the embolism according to an imaging result, wherein the feature attribute includes at least one of the following: density, crawling direction, correspondence with a site of cancer focus and edge characteristics; and determining a type of the embolism according to the features and outputting the type.