CT Metal Artifact Correction via Pre-Scan Reference Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Metal artifacts in CT images caused by high attenuation of X-rays passing through metal objects during CT scans lead to inaccurate image reconstruction, reducing the quality of the reconstructed image.
Innovation Solution
A method involving filtering back projection and CT threshold segmentation to extract and correct metal regions in CT images, using pre- and post-scan data to determine accurate metal regions and replace corresponding data with model data to remove artifacts, thereby improving image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If metal objects are present during CT scanning, then the CT scan can be performed, but metal artifacts appear in the reconstructed image reducing quality
Solution Approach 1:
The patent performs a preliminary CT scan before metal object intervention to obtain reference data. This pre-scan data is stored and later used to identify and correct metal artifacts in the post-intervention scan, allowing the system to prepare correction information in advance rather than attempting to remove artifacts after they are created
Solution Approach 2:
The patent extracts metal artifact data from the post-intervention CT scan by comparing it with the pre-intervention scan. Through threshold segmentation and data differentiation, the system isolates the metal artifact components from the valid image data, then removes these extracted artifacts to produce a cleaned reconstructed image
2Ease of manufacture
If conventional threshold segmentation is used to identify metal regions, then the process is simple, but accuracy is low due to varying subject conditions
Solution Approach 1:
The patent performs a preliminary CT scan before metal object intervention to obtain reference data. This pre-scan data is stored and later used to identify and correct metal artifacts in the post-intervention scan, allowing the system to prepare correction information in advance rather than attempting to remove artifacts after they are created
Solution Approach 2:
The patent uses the pre-scan data as feedback to guide the artifact removal process. By comparing pre and post-scan data, the system dynamically adjusts the identification of metal regions based on actual subject conditions, creating a feedback loop that improves detection accuracy over static threshold methods
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 enhances the accuracy of metal region detection and removes metal artifacts, resulting in improved CT image quality by using pre- and post-scan data to differentiate and correct metal regions, leading to more accurate diagnostic images.
Implementation Method 1
the CT equipment scans a subject by X-rays, X-rays are attenuated by the subject when passing through the subject
Data Source
AI summary
A method and a device for processing metal artifacts in a CT image are provided. In an example, the method includes: a first image is obtained before a metal probe is intervened; second raw data and a second image corresponding to the second raw data are obtained after the metal probe is intervened; a third image of a metal region in the second image is obtained; channels corresponding to the metal region are determined; CT values of the metal region in the second image are set to a preset value to obtain a model image and model raw data corresponding to the model image; data at the channels in the second raw data is replaced with data at the channels in the model raw data to obtain a replaced second raw data; and based on the replaced second raw data and the third image, a target image is obtained.