Photon Counting Noise Discrimination via Impulse Response
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Solution Overview
Problem
Photon counting type detector cells in radiation imaging systems are prone to noise, leading to over or undercounting of detection events due to electronic noise and physical scattering of radiation photons, which affects the accuracy of energy deposits and detection events.
Innovation Solution
An electronics arrangement comprising an integration circuit, comparator, and digital discriminator is used to generate a voltage signal from detector cells, filter noise, and accurately identify detection events by analyzing the impulse response of the detector cell, distinguishing between noise and information contributions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If photon counting type detector cells are used to count detection events, then the ability to resolve energy of radiation photons is improved, but noise sensitivity increases causing over or undercounting of detection events
Solution Approach 1:
The patent applies preliminary action by establishing a reference library of impulse responses from actual detection events before processing new data. This pre-characterized reference information is stored and used to compare against incoming signals, enabling accurate identification of true detection events versus noise. The system performs the analytical work of understanding signal characteristics in advance, making the actual detection process more reliable.
Solution Approach 2:
The patent implements feedback by using the reference impulse response information to continuously evaluate and correct detection event identification. The system compares incoming signals against the stored reference patterns, uses this comparison feedback to determine whether a signal represents a true detection event or noise, and adjusts counting decisions based on this evaluative feedback mechanism.
2Loss of information
If photon counting type detector cells are used to resolve radiation photon energy, then energy spectrum information is improved, but sensitivity to electronic noise increases leading to inaccurate energy deposits
Solution Approach 1:
The patent introduces an intermediary approach by using reference impulse response data as a mediator between the raw detector signals and the final energy spectrum analysis. Instead of directly processing noisy signals, the system uses the reference library as an intermediate reference frame to interpret incoming signals, filtering out noise through comparison with established patterns while preserving true energy information.
Solution Approach 2:
The system performs preliminary characterization of detection event signatures by storing reference impulse responses before energy spectrum analysis. This pre-established knowledge base of what true detection events look like allows the system to distinguish signal from noise during energy resolution, preventing noise from corrupting the energy spectrum information.
3Quantity of substance
If radiation photons physically scatter upon interaction with detector cell, then multiple energy deposits are generated, but detection events are over counted when multiple deposits are treated as separate events
Solution Approach 1:
The patent applies merging by combining multiple energy deposits that originate from a single scattered photon into one unified detection event. The system uses reference impulse response comparison to recognize patterns indicating scatter events, then merges the associated energy deposits rather than counting them separately, accurately reflecting that they represent a single interaction origin.
Solution Approach 2:
The system uses feedback from reference impulse response matching to identify when multiple energy deposits should be consolidated. By comparing incoming signal patterns against stored references, the system receives feedback about the likely origin of energy deposits and adjusts counting accordingly, merging deposits from scattered photons while maintaining separate counts for truly independent events.
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 solution effectively reduces noise interference, improving the accuracy of detection events and energy spectrum analysis in photon counting detector arrays, enhancing the reliability of radiation imaging systems.
Implementation Method 1
an integration circuit configured to integrate charge generated by a detector cell of the photon counting detector array to generate a voltage signal
Implementation Method 2
a comparator configured to compare the voltage signal to a reference voltage to generate a digital output
Implementation Method 3
a digital discriminator configured to analyze the digital output to identify a detection event on the detector cell
Data Source
AI summary
Among other things, one or more techniques and/or systems are described for counting detection events on a detector cell of a photon counting detector array. An electronics arrangement of the detector cell comprises a digital discriminator which is configured according to an impulse response of the detector cell or, more particularly, an impulse response of a radiation detection element of the detector cell (e.g., where the radiation detection element is configured to convert energy of the radiation photon into electrical charge). The digital discriminator is configured to analyze a digital representation of a voltage signal of the detector cell and to compare a result of the analysis to one or more metrics derived based upon the impulse response of the detector cell to identify voltage pulses of the voltage signal that are indicative of detection events.