CT Image Correction Using Phase Motion Estimation Fusion
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Solution Overview
Problem
Computed tomography (CT) scanning procedures often result in motion artifacts due to patient movement, which are not effectively eliminated by existing multi-source CT systems, leading to inconsistencies in reconstructed images.
Innovation Solution
A method and system for image correction that involves obtaining initial scanning data, generating first images based on phases, determining motion estimation through image registration, and calibrating these images to generate a high-quality target image by fusing calibrated images using motion estimations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If multi-source CT system is used to improve temporal resolution, then scanning speed is improved, but motion artifacts in reconstructed images still cannot be eliminated
Solution Approach 1:
The patent applies preliminary action by generating motion estimation from a first image before using it to correct the second image. The motion estimation is calculated in advance based on the first image acquired at an earlier time point, and then this pre-calculated motion estimation is used to correct the second image, thereby compensating for motion artifacts while maintaining high scanning speed.
2Manufacturing precision
If image correction based on motion estimation is applied, then image quality is improved, but computational complexity increases
Solution Approach 1:
The patent segments the image correction process into distinct stages: first acquiring a reference image, then calculating motion estimation separately, and finally applying this motion estimation to correct the second image. This segmentation allows the computationally intensive motion estimation calculation to be performed once on the reference image, rather than repeatedly for each correction operation, thereby reducing overall computational complexity while maintaining image quality.
Data Source
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AI summary
Provided are a method and a system for image correction. The method includes: obtaining initial scanning data in a preset time period; generating first images, each of the first images corresponding to one of first phases in the preset time period and being generated based on a portion of the initial scanning data acquired in the one of the first phases, one of the first phases being a target phase; generating second images based on the first images or the initial scanning data, each of the second images corresponding to one of the first phases; determining a motion estimation corresponding to each of the first phases based on the second images; and generating a target image corresponding to the target phase based on motion estimations corresponding to the first phases and the first images.