Medical Image Registration for Motion-Corrected 3D Reconstruction
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Solution Overview
Problem
Existing medical imaging techniques, such as tomosynthesis, are hindered by patient movement during scanning, leading to image artifacts and reduced diagnostic accuracy.
Innovation Solution
A medical image processing method involving image registration of multiple pieces of image data to correct for patient motion, including rigid and non-rigid transformations, and generating indication information to improve image reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple 2D projection images are acquired from multiple angles during scanning, then 3D slice image reconstruction is enabled to improve diagnosis efficiency and accuracy, but patient movement during scanning causes image artifacts and reduces diagnostic accuracy
Solution Approach 1:
The system performs image registration on multiple 2D projection images before 3D reconstruction to correct for patient motion. By preliminarily aligning the images and compensating for movement artifacts, the system ensures that the subsequent reconstruction produces high-quality diagnostic images without motion-related degradation
Solution Approach 2:
The system generates motion indication information that provides feedback about patient movement during scanning. This feedback mechanism allows the system to identify and correct motion artifacts, thereby maintaining image quality and diagnostic accuracy despite patient movement
2Adaptability or versatility
If the X-ray source moves along a curved or linear path to acquire multiple 2D projection images, then 3D reconstruction becomes possible, but the scanning process becomes more complex and time-consuming
Solution Approach 1:
The controller is designed to perform multiple functions: acquiring 2D projection images, performing image registration, generating motion indication information, and executing 3D reconstruction. By integrating these functions into a single multi-functional system, the patent reduces overall system complexity while maintaining versatile imaging capabilities
3Measurement precision
If image registration is performed on multiple pieces of image data to correct patient motion, then image quality and diagnostic accuracy are improved, but processing time and computational complexity increase
Solution Approach 1:
The system generates motion indication information that highlights only the relevant motion characteristics rather than processing every detail of the images. This partial processing approach reduces computational time while still providing sufficient information to correct motion artifacts and maintain diagnostic accuracy
Data Source
AI summary
Embodiments of the present application provide a medical image processing method and a medical imaging system. The method comprises: acquiring a plurality of pieces of image data of a subject under examination; performing image registration on the plurality of pieces of image data; and performing at least one of the following processes according to the image registration result: performing image reconstruction, and generating indication information indicating the motion of the subject under examination.