Coincidence Circuit Splitter for PET High Count Rate Data Loss
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
High count rate studies in PET imaging face challenges due to coincidence circuit bottlenecks, leading to data loss and inaccurate event counting during high activity periods, where the incoming event rate exceeds the output rate, causing buffer overflow and loss of event data.
Innovation Solution
Implementing a mechanism to process a fraction of prompts and randoms coincidence counts using a split ratio, where a splitter discards a portion of event data to prevent buffer overflow, allowing accurate quantification by selectively passing event data to FIFO and output buffers, and using delayed circuitry to measure random events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the coincidence circuit processes all radiation events, then complete event data is captured, but buffer overflow occurs and data loss increases during high count rate periods
Solution Approach 1:
The splitter selectively passes only a fraction of coincidence events to the buffer memory based on buffer capacity and current event rate conditions. This partial action prevents buffer overflow by discarding excess events that cannot be processed in real-time, while still maintaining accurate counting of the processed subset. The system applies this principle dynamically adjusting the fraction passed based on operational conditions.
2Loss of substance
If the coincidence circuit buffer capacity is increased to handle all events, then data loss is reduced, but device complexity and cost increase
Solution Approach 1:
The system segments the coincidence event stream into processed and discarded portions using the splitter. Instead of requiring a single large buffer to handle all events, the segmentation allows a smaller buffer to process manageable fractions of events while the splitter manages the division of the event stream based on buffer status and event rate conditions.
Solution Approach 2:
The system dynamically changes operational parameters including the fraction of events passed to buffer, buffer threshold levels, and splitter pass-through ratios based on real-time conditions such as event rate and buffer occupancy. This allows adaptive optimization of data capture versus resource utilization without requiring excessive buffer capacity.
3Measurement precision
If the coincidence window is widened to capture more true coincidences, then detection sensitivity improves, but random coincidence events increase
Solution Approach 1:
The system uses feedback from the measured random coincidence rate and prompt coincidence rate to dynamically adjust the coincidence window duration and splitter fraction. When random events increase due to a wider window, the system adjusts parameters to maintain accurate true coincidence measurement by scaling the processed fraction accordingly, ensuring that the measured rates remain accurate despite the wider window accepting more random events.
Data Source
AI summary
A method comprises: detecting a plurality of radiation events using a plurality of radiation detectors; determining a fraction of the plurality of radiation events, such that a coincidence circuit has sufficient capacity to process each radiation event in the fraction of the plurality of radiation events; counting the determined fraction of the plurality of radiation events using the coincidence circuit, and excluding a remainder of the plurality of radiation events from the counting; and performing positron emission tomography (PET) processing on each radiation event in the fraction of the plurality of radiation events.