Image Reconstruction via Multi-Angle Data Segmentation
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Solution Overview
Problem
Medical imaging technologies face challenges in reconstructing images with high time resolution and low motion artifacts due to physiological motion of subjects during scanning, particularly when using limited angle ranges which result in inconsistent data sets.
Innovation Solution
A system and method for image reconstruction that involves obtaining and processing multiple sets of image data from different angle ranges, using iterative processes and noise distribution adjustments to generate a target image with higher time resolution and reduced noise levels, by performing arithmetic operations, filtering, and denoising to combine images from different scans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the imaging device rotates a larger angle (e.g., 360 degrees) around the subject, then the image reconstruction has lower time resolution, but the image quality is improved
Solution Approach 1:
The patent divides the image reconstruction process into multiple segments: first reconstructing an initial image from a limited angle range, then reconstructing a second image from additional angle data, and finally combining these segments through arithmetic operations and filtering to produce the final high-quality image with improved time resolution
Solution Approach 2:
The patent performs preliminary image reconstruction from a limited angle range before acquiring complete 360-degree data. This preliminary image is then refined by incorporating additional angular data through iterative processes, allowing time-critical applications to benefit from faster initial reconstruction while still achieving high quality through subsequent refinement
2Loss of time
If the imaging device rotates a smaller angle (e.g., 240 degrees) for one or more times, then the image reconstruction has higher time resolution, but motion artifacts increase due to physiological motion
Solution Approach 1:
The patent implements feedback mechanisms through iterative reconstruction processes where the reconstructed images are continuously refined. The system uses arithmetic operations between images from different angle ranges and applies filtering to feedback-correct motion inconsistencies, reducing motion artifacts while maintaining high time resolution
Solution Approach 2:
The patent changes reconstruction parameters by performing multiple iterations with different angle ranges and combining results through weighted arithmetic operations. This allows the system to optimize between time resolution and motion artifact reduction by adjusting the contribution of different angular datasets
3Manufacturing precision
If multiple iterative processes are performed to reduce noise, then the image quality is improved, but the processing time and complexity increase
Solution Approach 1:
The patent performs a first iterative process with a first count of iterations to generate an initial image, then performs a second iterative process with a second count of iterations (fewer than the first) to generate a refined image from additional angle data. This partial iteration approach reduces overall processing complexity while maintaining image quality through the combination of multiple iterative results
Data Source
AI summary
A system for imaging reconstruction is provided. The system may obtain a first set of image data of a subject acquired by a scanner and a second set of image data of the subject acquired by the scanner. The first set of image data may correspond to a first angle range of the scanner. The second set of image data may correspond to a second angle range of the scanner. The first angle range may be different from the second angle range. The system may also generate a first image based on the first set of image data and generate a second image based on the second set of image data. The system may further generate a target image based on the first image and the second image.