3D Image Reconstruction via Virtual Image Population
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Solution Overview
Problem
Conventional X-ray inspection and CT imaging methods require hundreds or thousands of 2D images to generate a 3D image, leading to high radiation exposure and image distortion.
Innovation Solution
A method for 3D image reconstruction that minimizes radiation exposure by generating a small number of 2D images and correcting image scales between multiple angles, using pixel averaging to create virtual images and iteratively build a 3D image from these, as described by the process of radiating an X-ray source, acquiring 2D images, scaling and correcting them, and repeatedly generating virtual images until a predetermined number is reached.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If hundreds or thousands of X-ray sources are emitted to image the inside of a subject in three dimensions, then the 3D image quality is improved, but the radiation exposure to the subject increases
Solution Approach 1:
The patent generates virtual 2D images from a limited number of actual 2D images through iterative back-projection algorithms. These virtual images serve as copies that simulate additional projection angles without requiring additional physical X-ray exposures, thereby maintaining 3D reconstruction quality while minimizing radiation exposure.
Solution Approach 2:
The patent performs preliminary scaling correction on the limited number of acquired 2D images to compensate for geometric distortions before reconstruction. By pre-correcting the images using known geometric relationships, the system achieves accurate 3D reconstruction without needing excessive projection angles that would increase radiation exposure.
2Object-affected harmful factors
If a small number of 2D images are used for 3D reconstruction, then radiation exposure is minimized, but image distortion increases
Solution Approach 1:
The patent applies scaling correction by adjusting the geometric parameters of the acquired 2D images based on the known relationship between the object plane and detector plane. This parameter transformation compensates for perspective distortion and enables accurate 3D reconstruction from minimal projection data.
Solution Approach 2:
The patent replaces the mechanical approach of acquiring numerous images by physically rotating the object or detector with a computational approach. By using iterative back-projection algorithms and scaling corrections, the system achieves accurate reconstruction mathematically without the mechanical complexity and radiation exposure associated with acquiring hundreds of images.
3Manufacturing precision
If scaling correction is applied to correct image scale between two-dimensional images, then image distortion is minimized, but processing complexity increases
Solution Approach 1:
The patent applies scaling correction selectively to specific regions and aspects of the images based on the geometric relationship between the object plane and detector plane. Rather than applying complex global transformations, the method uses localized scaling adjustments that are computationally efficient while effectively correcting distortion.
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 method effectively reduces radiation exposure and minimizes image distortion, enabling accurate 3D image reconstruction with a smaller number of 2D images, thus improving the efficiency and quality of the imaging process.
Implementation Method 1
radiating an X-ray source at a predetermined angle to a photographing subject and acquiring a plurality of two-dimensional image images received through a detector
Data Source
AI summary
A method for 3D image reconstruction includes the steps of radiating an X-ray source at a predetermined angle to a photographing subject and acquiring a plurality of two-dimensional image images received through a detector, generating an image population by scaling the obtained plurality of two-dimensional image images, generating a virtual image using a pixel average between two-dimensional images from the plurality of scale-corrected two-dimensional images, and adding the virtual image to the image population, repeatedly generating a virtual image using a pixel average between two-dimensional images included in the image population until a two-dimensional image larger than a predetermined number P is generated in the image population, and generating a 3D video image using the generated 2D video image.