Tomography Image Reconstruction with Motion Artifact Correction
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Solution Overview
Problem
Current CT imaging systems face challenges in reconstructing clear images of moving objects due to motion artifacts, which degrade image quality and diagnostic accuracy.
Innovation Solution
A tomography imaging apparatus and method that measures and corrects for global and regional motion during the scanning process by comparing partial data from consecutive angular sections, using techniques like rigid and non-rigid registration to reconstruct a final image with reduced artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a tomography scan is performed on a moving object to acquire raw data, then the object can be imaged, but motion artifacts occur that degrade image quality and diagnostic accuracy
Solution Approach 1:
The system performs preliminary motion measurement and correction by comparing partial data from consecutive angular sections before final image reconstruction. Motion parameters are estimated in advance and used to correct the raw data, preventing motion artifacts from degrading the final image quality
Solution Approach 2:
The system uses feedback by comparing partial data from consecutive angular sections to detect motion, then uses this motion information to correct subsequent image reconstruction. This closed-loop approach continuously monitors and compensates for object motion during scanning
2Loss of information
If the scanning period is extended to capture sufficient raw data for reconstruction, then image completeness improves, but object motion increases causing more artifacts
Solution Approach 1:
The scanning process is segmented into multiple angular sections, with partial data acquired from each section. This allows the system to process and correct motion artifacts from each segment independently, maintaining image completeness while reducing the effective scanning period for each correction cycle
3Reliability
If motion correction is applied during image reconstruction, then motion artifacts are reduced, but processing complexity increases
Solution Approach 1:
The system applies motion correction with local quality by focusing computational resources on comparing and correcting partial data from consecutive angular sections where motion is most likely to occur, rather than uniformly processing all data, thus reducing overall processing complexity while maintaining accuracy
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
The solution effectively minimizes motion artifacts, improving the accuracy and clarity of reconstructed images, especially for moving objects, thereby enhancing diagnostic precision.
Implementation Method 1
measuring a global motion of the object and a motion of a first region in the object based on the plurality of partial data
Implementation Method 2
using techniques like rigid and non-rigid registration to reconstruct a final image with reduced artifacts
Implementation Method 3
a computed tomography (CT) apparatus may be an example of a tomography imaging apparatus... perform a tomography scan of an object to acquire raw data. The acquired raw data is used to reconstruct a tomography image. In this case, the raw data may be projection data obtained by projecting an X-ray onto the object
Data Source
AI summary
A tomography imaging apparatus is provided, including: a data acquisition unit configured to acquire a plurality of partial data respectively corresponding to a plurality of consecutive angular sections by performing a tomography scan on a moving object; and an image processing unit configured to measure global motion of the object and motion of a first region in the object based on the plurality of partial data, acquire first information representing motion of the object by reflecting the global motion in the motion of the first region, and reconstruct a final tomography image representing the object based on the first information.