CT Metal Artifact Reduction via Region-Specific Interpolation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Computed tomography (CT) images often suffer from metal artifacts due to metallic implants, leading to unclear images and reduced readability, as existing methods are inadequate in effectively reducing these artifacts.
Innovation Solution
A method and apparatus for reducing metal artifacts in CT images by clipping the to-be-restored region, generating second and third raw data through forward and backward projections, obtaining direction information, and interpolating pixel values based on this information to convert the data into improved CT image data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional CT image reconstruction is performed using raw data from X-ray detector, then the reconstruction process is straightforward and fast, but metal artifacts occur making the image unclear and reducing readability
Solution Approach 1:
The patent segments the CT image into multiple regions based on attenuation coefficients, identifying metal regions separately from non-metal regions. This segmentation allows selective processing where metal artifacts are targeted for correction while preserving the integrity of non-metal regions, thereby improving image clarity without requiring complete reprocessing of the entire image
Solution Approach 2:
The patent applies different processing strategies to different regions of the image. Metal regions undergo artifact reduction processing while non-metal regions maintain their original reconstruction quality. This local quality approach ensures that corrections are applied precisely where needed, improving overall image reliability without unnecessary complexity in regions that don't require intervention
2Reliability
If existing metal artifact reduction methods are applied, then some artifact reduction is achieved, but the methods are inadequate and fail to effectively reduce metal artifacts in all regions
Solution Approach 1:
The patent performs preliminary identification and segmentation of metal regions before final image reconstruction. By pre-identifying areas with high attenuation coefficients that correspond to metal implants, the system can prepare appropriate correction strategies in advance, ensuring more effective artifact reduction while maintaining precision in the subsequent reconstruction process
Solution Approach 2:
The patent changes processing parameters selectively based on region type. Different reconstruction algorithms or parameter sets are applied to metal regions versus non-metal regions, allowing optimization for each specific case. This parameter adaptation enables effective artifact reduction in metal regions while preserving measurement precision in other areas
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 approach enhances the accuracy of CT image reconstruction by effectively reducing metal artifacts, improving image clarity and readability, especially in regions with metallic implants.
Implementation Method 1
CT apparatuses may detect X-rays transmitted through an object by using an X-ray detector
Implementation Method 2
generating the second raw data by performing forward projection on the first CT image data in which the to-be-restored region was selected and replaced
Implementation Method 3
generating second CT image data by performing backward projection with respect to the second raw data
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Provided is a computed tomography (CT) imaging apparatus, the CT imaging apparatus including a data obtainer configured to obtain first raw data from X-ray transmitted by an object; and a processor configured to interpolate a pixel value corresponding to a to-be-restored region within raw data, based on a pixel value of at least one line that penetrates through the to-be-restored region.