Medical Imaging Patch Calibration for Artifact Correction
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Solution Overview
Problem
Medical imaging systems, such as MRI devices, suffer from artifacts due to system errors and external interferences, leading to degraded image quality and affecting diagnostic accuracy.
Innovation Solution
A calibration method that divides imaging data into patches, identifies abnormal points using trained classification models, and calibrates the data based on these patches, employing different strategies for different patch positions to improve accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional calibration methods are used to correct artifacts in medical imaging data, then imaging quality can be improved, but processing time and computational costs increase significantly
Solution Approach 1:
The patent divides the imaging data into multiple patches and further segments them into different regions (e.g., central region and peripheral region). This segmentation allows the system to process different parts of the data independently using region-specific calibration strategies, reducing the overall processing time while maintaining imaging quality.
Solution Approach 2:
The patent applies different calibration strategies to different regions of the imaging data based on their specific characteristics. The central region and peripheral region are treated differently with tailored calibration parameters and methods, optimizing the calibration process for each region's specific needs and reducing unnecessary processing elsewhere.
2Measurement precision
If comprehensive artifact detection and calibration is performed on all imaging data, then diagnostic accuracy improves, but computational resources and costs increase
Solution Approach 1:
The patent segments the imaging data into multiple patches and regions, allowing the system to focus computational resources on areas that require calibration. By identifying and prioritizing regions with artifacts or potential artifacts, the system can allocate computational resources more efficiently while maintaining diagnostic accuracy.
Solution Approach 2:
The patent implements region-specific calibration strategies that adapt the calibration process to the local characteristics of different imaging regions. This allows the system to apply intensive calibration only where needed (e.g., regions with detected artifacts) while using lighter processing for regions that are less likely to contain artifacts, thus optimizing computational resource utilization.
3Manufacturing precision
If multiple calibration strategies are applied to different patch positions, then calibration accuracy improves, but system complexity increases
Solution Approach 1:
The patent implements different calibration strategies for different patch positions (e.g., central region versus peripheral region) based on the specific characteristics and requirements of each region. This localized approach improves calibration accuracy by tailoring the calibration process to the specific needs of each region while managing system complexity through structured organization of the calibration procedures.
Data Source
AI summary
The present disclosure discloses a calibration method and system for medical imaging. The calibration method comprising: obtaining imaging data; dividing the imaging data into a plurality of patches; and calibrating the imaging data based on one or more target patches of the plurality of patches, wherein the one or more target patches is a part of the plurality of patches.