Coincidence Module Segmentation for PET Imaging Accuracy
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Solution Overview
Problem
Current PET imaging systems struggle to accurately distinguish true coincidence events from scattered and random events, leading to degraded sensitivity and resolution.
Innovation Solution
A device comprising detector rings and coincidence modules that determine coincidence events by analyzing single events, including first and second coincidence events, to isolate true coincidence events based on time of occurrence and cycle offsets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If coincidence events are determined using traditional PET scanning methods, then the system can detect gamma photons from positron-electron annihilation, but scattered events and random events degrade the sensitivity and resolution
Solution Approach 1:
The patent segments the detection system into multiple detector rings with dedicated coincidence modules. Each coincidence module processes single events from its corresponding detector ring and other rings separately, then combines them to identify coincidence events. This segmentation allows for targeted processing and identification of true coincidence events while filtering out scattered and random events, thereby improving measurement precision without compromising reliability.
Solution Approach 2:
The patent introduces coincidence modules as intermediary components between the detector rings and the image reconstruction process. These modules act as mediators that receive single events from detector rings, process them according to specific criteria, and output only the validated coincidence events. This intermediary processing layer filters out scattered and random events before they affect the final image quality, thus improving both accuracy and reliability.
2Productivity
If multiple detector rings are used to improve detection coverage, then the system can capture more coincidence events, but the complexity of processing and distinguishing event types increases
Solution Approach 1:
The patent divides the processing task into segments by assigning dedicated coincidence modules to each detector ring. Each module handles single events from its corresponding ring and coordinates with other modules to identify coincidence events across multiple rings. This segmentation distributes the processing complexity across multiple independent units, allowing the system to handle multiple detector rings without overwhelming complexity in a single processing stage.
Solution Approach 2:
The coincidence modules are designed with universal functionality to handle single events from any detector ring and identify coincidence events regardless of which specific rings are involved. This multi-functional design allows the same processing logic to be applied across all detector rings, simplifying the overall system architecture while maintaining the ability to process complex multi-ring detection data efficiently.
3Quantity of substance
If the system processes all single events to identify coincidence events, then comprehensive data is captured, but the time required for processing increases
Solution Approach 1:
The patent implements preliminary action by having coincidence modules process single events from detector rings before the main coincidence identification process. Each module pre-processes single events according to specific criteria and prepares them for efficient coincidence matching. This preliminary processing reduces the computational burden during the main coincidence event identification phase, thereby decreasing overall processing time while maintaining comprehensive data capture.
Solution Approach 2:
The patent ensures continuity of useful action by maintaining continuous processing of single events through the coincidence modules. The modules continuously receive, process, and compare single events from detector rings to identify coincidence events in real-time. This continuous processing approach eliminates idle time and ensures that all potential coincidence events are captured without interruption, maximizing data quantity while minimizing processing time through efficient continuous operation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution effectively improves the accuracy and efficiency of PET imaging by enhancing the ability to distinguish true coincidence events, thereby improving the sensitivity and resolution of PET systems.
Implementation Method 1
The PET system then detects pairs of gamma rays, whose emissions are caused by the radioactive tracer
Implementation Method 2
determine coincidence events based on single events detected by the one or more detector rings... determining original coincidence events based on time of occurrence of a plurality of single events
Data Source
AI summary
The present disclosure relates to systems and methods for determining coincidence events. The systems and methods may obtain a cycle difference between a first clock cycle at which a first single event occurs and a second clock cycle at which a second single event occurs. The systems and methods may also obtain a first time-to-digital converter (TDC) value of the first single event and a second TDC value of the second single event. The systems and methods may then determine a difference between the first single event and the second single event based on the cycle difference, the first TDC value, and the second TDC value, and determine whether the first single event and the second single event have a coincidence relationship according to the difference.