PET Coincidence Data Compensation for Missing Count Correction
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Solution Overview
Problem
Positron Emission Tomography (PET) data loss occurs during buffering and transmission of high-activity radionuclide scans, leading to inaccurate processing results such as PET images and Standard Uptake Values (SUVs).
Innovation Solution
A system and method for obtaining counts of missing data from first and second coincidence data, determining a compensation coefficient based on these counts, and using it to compensate the preliminary SUV, thereby improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-activity radionuclide is used during the scan, then the quality and sensitivity of PET imaging is improved, but data loss occurs during buffering and transmission leading to inaccurate processing results
Solution Approach 1:
The system performs preliminary actions by recording buffer full signals and writing signals before data loss occurs, enabling subsequent compensation calculations. Counters are incremented based on these signals to track missing data before it permanently disappears from the system
Solution Approach 2:
The system implements feedback by using the recorded counts of missing data to compensate the Standard Uptake Value (SUV) calculation. The compensation factor is derived from the ratio of missing data count to total expected data count, creating a closed-loop correction mechanism that improves measurement accuracy
2Quantity of substance
If data buffering and transmission is performed for high-activity radionuclide scans, then complete PET data acquisition is enabled, but data loss occurs due to buffer overflow and transmission limitations
Solution Approach 1:
The system performs preliminary monitoring by tracking buffer full signals and writing signals before data loss occurs. Counters are incremented based on these signals to quantify missing data, enabling subsequent compensation calculations that restore data integrity
Solution Approach 2:
The system replaces physical data storage and transmission mechanisms with a mathematical compensation model. Instead of preventing data loss through enhanced buffering infrastructure, the system uses computational methods to calculate and apply compensation factors to the Standard Uptake Value, substituting mechanical solutions with algorithmic corrections
3Productivity
If coincidence data is buffered and transmitted from the scan system, then data processing capability is maintained, but data loss results in inaccurate Standard Uptake Value determination
Solution Approach 1:
The system implements feedback by using the recorded counts of missing data to compensate the Standard Uptake Value (SUV) calculation. The compensation factor is derived from the ratio of missing data count to total expected data count, creating a closed-loop correction that maintains measurement precision despite high processing throughput
Solution Approach 2:
The system changes the SUV parameter by applying a compensation factor that adjusts the final measurement value. This parameter transformation allows the system to maintain high data processing throughput while correcting for data loss effects, preserving measurement accuracy without reducing productivity
Data Source
AI summary
The present disclosure provides a PET data compensation system and method. The method may include obtaining a count of missing data of first coincidence data. The method may also include obtaining second coincidence data and a second count of the second coincidence data, the second coincidence data and the missing data constituting the first coincidence data. The method may further include performing a compensation relating to the second coincidence data based on at least two of the count of the missing data, a first count of the first coincidence data, or the second count of the second coincidence data.