Block Detector Signal Encoding to Cut Cables and Timing Skew
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Solution Overview
Problem
Nuclear medical imaging systems, such as PET and SPECT scanners, face challenges in reducing the number of signal traces required, leading to increased costs, complexity, and timing skew due to long signal transmission cables, which degrades detector timing performance.
Innovation Solution
The T/L/E (Top, Left, Energy) multiplexing readout concept encodes signals from radiation sensors into three combined signals, reducing the number of cables needed and eliminating timing skew by forming a diagonal relationship between sub-arrays of sensors, allowing for accurate timing and location information extraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the number of photosensors per block is reduced to lower costs, then device complexity and cost are reduced, but measurement precision and signal localization accuracy deteriorate
Solution Approach 1:
The patent combines signals from multiple photosensors through analog filtering, integration, and multiplication to create composite signals that preserve localization information. Multiple sensor outputs are merged into fewer signal paths while maintaining the ability to determine scintillation event positions through processed signal combinations.
Solution Approach 2:
The patent introduces an intermediary signal processing stage between the photosensors and the final readout. Analog filtering, integration, and multiplication circuits act as intermediaries that process and combine sensor signals, enabling accurate event localization with fewer direct readout paths.
2Ease of operation
If long signal transmission cables are used to connect detectors, then device flexibility and installation ease are improved, but timing precision deteriorates due to cable time-skew
Solution Approach 1:
The patent merges multiple sensor signals into fewer combined signal paths before transmission. By integrating and combining signals at the sensor level, the system reduces the number of separate cable connections needed, allowing for simpler cable routing while maintaining timing accuracy through the combined signal structure.
3Measurement precision
If more signal traces are used to connect each radiation sensor, then signal processing accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The patent merges signals from multiple radiation sensors into combined signal paths. By integrating signals in the analog domain before digitization, the system maintains processing accuracy while reducing the total number of separate signal traces required to connect each sensor to the readout electronics.
Solution Approach 2:
The patent creates multi-functional signal paths that carry combined information from multiple sensors. Each combined signal trace serves multiple sensing elements simultaneously, allowing a single trace to perform the function of multiple individual sensor connections while preserving the necessary signal information.
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
This approach significantly reduces costs, simplifies cable handling, improves timing performance, and enhances detector integrity by eliminating cable time-skew and reducing signal processing complexity in nuclear imaging systems.
Implementation Method 1
These are detected when they reach one of a plurality of scintillation crystals in the scanning device, creating a burst of light detected by an array of photosensors
Implementation Method 2
creating a burst of light detected by an array of photosensors
Data Source
AI summary
Signals generated by radiation sensors can be encoded to reduce the number of cables needed to transport information from a nuclear imaging apparatus to a processor for reconstruction. For example, signals from 16 radiation sensors can be encoded into three signals: T (top), L (left), and E (energy). This method of encoding signals can be capable of substantially reducing the number of signals, thereby reducing costs. In addition, reducing the number of signals could improve system timing performance by eliminating cable time-skew and facilitate the filter design by downgrading the circuit accuracy requirements such as group-delay error and filter signal skews.