Medical Image Calibration Phantom for SUV Standardization
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Solution Overview
Problem
Current medical imaging technologies, such as PET scans, face challenges in standardization due to variations in scanner hardware and reconstruction methods, which affect the Standardized Uptake Value (SUV) measurements, hindering their use as quantitative imaging tools for lesion characterization and treatment monitoring.
Innovation Solution
A method and apparatus for calibrating image data by obtaining reference image data from a phantom, comparing it to standard data, and modifying subject image data to reduce errors, using iterative filtering processes to achieve consistent SUV measurements across different scanners and reconstruction protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If different scanner hardware and reconstruction methods are used, then imaging flexibility and manufacturer independence are improved, but measurement precision and standardization of SUV values deteriorate
Solution Approach 1:
The patent introduces a calibration object (phantom) as an intermediary standard that mediates between different scanner hardware and reconstruction methods. By scanning the same calibration object with various scanners and protocols, reference data is obtained that serves as a common reference point, enabling comparison and standardization of SUV measurements across different imaging systems while maintaining imaging flexibility
Solution Approach 2:
The patent systematically varies reconstruction parameters (such as iteration numbers, filter settings, and reconstruction algorithms) to generate multiple reference data sets from the same calibration object. By analyzing how SUV values change with different parameters and establishing correction relationships, the method enables standardization of measurements across different reconstruction protocols while preserving the ability to use optimized protocols for specific clinical needs
2Reliability
If iterative reconstruction techniques with more iterations are used, then image quality and lesion detectability are improved, but SUV measurement precision deteriorates due to increased variability
Solution Approach 1:
The patent performs preliminary calibration scans of a phantom object using the same iterative reconstruction techniques with varying iteration numbers that will be used for patient imaging. By establishing the relationship between iteration numbers and SUV values in advance through these preliminary actions, correction factors can be determined beforehand to compensate for the SUV inflation effect, allowing high iteration reconstructions to be used for improved lesion detectability while maintaining SUV measurement precision through post-processing correction
Data Source
AI summary
In a method and apparatus for calibrating image data from a given medical imaging protocol, reference image data is obtained from a scan of a reference object using the medical imaging protocol, and the obtained reference image data of the reference object is compared to standard reference image data for the reference object. The obtained reference image data is then modified to reduce an error between the obtained reference image data and the standard reference image data. Subject image data id then obtained from a scan of a subject using the medical imaging protocol, and modified based on the modified reference image data. A value of a variable is obtained from the modified subject image data, for display with unmodified subject image data.