AI Tissue Analysis from 2D X-Ray Images
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Solution Overview
Problem
Existing medical imaging technologies, such as X-ray imaging, struggle to accurately analyze and differentiate between various tissues due to overlapping images on a single plane, and more advanced methods like CT or MRI are costly and economically burdensome.
Innovation Solution
A method and device utilizing an artificial intelligence model to analyze human tissue from X-ray medical images by generating training data from three-dimensional medical images, allowing for the calculation of three-dimensional size, volume, or weight of tissues from two-dimensional X-ray images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If X-ray imaging is used to capture medical images, then the cost is low and imaging is easy, but the accuracy of tissue identification is limited due to overlapping tissues on one plane
Solution Approach 1:
The patent applies dimensionality change by converting two-dimensional X-ray images into three-dimensional virtual images through AI-based reconstruction. The system generates 3D virtual images from 2D projection images, enabling accurate measurement of tissue volume, weight, and spatial relationships without requiring actual 3D imaging equipment, thus resolving the contradiction between imaging ease and measurement precision.
2Measurement precision
If CT or MRI is used to obtain accurate tissue images, then the measurement precision is improved, but the cost increases and it becomes an economic burden
Solution Approach 1:
The patent creates virtual 3D copies of tissues from 2D X-ray images using AI reconstruction algorithms. Instead of requiring expensive CT or MRI equipment to obtain accurate 3D tissue information, the system generates virtual 3D models that replicate the anatomical structures, enabling accurate measurement and analysis at a fraction of the cost of traditional 3D imaging modalities.
3Device complexity
If traditional X-ray imaging is used, then the device complexity is low, but the ability to analyze three-dimensional tissue characteristics is insufficient
Solution Approach 1:
The patent recovers three-dimensional tissue information from two-dimensional projection images through AI-based 3D reconstruction. The system processes 2D X-ray images and generates virtual 3D images that contain volumetric, spatial, and anatomical relationship information, effectively recovering the lost dimensional information without adding complex 3D imaging hardware.
Data Source
AI summary
Disclosed are a method and device for analyzing human tissue on the basis of a medical image. A tissue analysis device generates training data including a two-dimensional medical image and volume information of tissue by using a three-dimensional medical image, and trains, by using the training data, an artificial intelligence model that obtains a three-dimensional size, volume, or weight of tissue by dividing at least one or more normal or diseased tissues from a two-dimensional medical image in which a plurality of tissues are displayed overlapping on the same plane. In addition, the tissue analysis device obtains a three-dimensional size, volume, or weight of normal or diseased tissue from an X-ray medical image by using the artificial intelligence model.