Photon Counting Virtual Detector for CT Saturation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Photon counting detector arrays in imaging modalities like CT scanners face saturation issues due to high photon emission rates, leading to inaccurate counting of detection events and limiting their application in imaging modalities with high photon emission rates.
Innovation Solution
The system combines information from multiple photon counting channels to generate virtual channels, effectively increasing the detection surface area and reducing saturation issues by creating channels with a larger detection surface than individual photon counting channels, allowing for higher photon emission rates while maintaining accurate counting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If photon counting channels are used to detect photons at high emission rates, then measurement precision is improved, but saturation occurs leading to loss of information
Solution Approach 1:
The detector array is divided into multiple individual photon counting channels, each with a small detection surface area designed to handle low photon rates. By segmenting the detection surface into many small channels, the system can process high total photon rates through parallel counting while each individual channel remains below saturation threshold.
Solution Approach 2:
Multiple individual photon counting channels are combined to form a virtual channel with a larger effective detection surface area. The virtual channel aggregates the detection capabilities of multiple physical channels, enabling the system to detect photons at high emission rates by summing the counts from multiple non-saturated individual channels.
2Productivity
If the detection surface area of individual channels is increased to handle high photon rates, then productivity is improved, but saturation issues worsen
Solution Approach 1:
Instead of using a few large channels that would saturate at high photon rates, the detection surface is segmented into many small channels. Each small channel processes photons at a manageable rate, maintaining counting accuracy, while the collective output of all channels achieves high overall productivity.
Solution Approach 2:
The system transitions from a single-dimensional approach (one large channel) to a multi-dimensional approach (many small channels arranged in an array). By adding the dimension of parallel channel processing, the system achieves high photon detection rates without any single channel exceeding its reliable counting capacity.
3Area of stationary object
If multiple photon counting channels are combined to create virtual channels, then area of stationary object is increased, but device complexity increases
Solution Approach 1:
The system creates virtual channels that can represent different combinations of physical channels depending on the imaging requirements. The same physical channel array can be configured to form different virtual channels with varying detection surface areas, providing multi-functionality without requiring additional hardware complexity.
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 enables the use of photon counting technology in high photon emission rate applications by mitigating saturation, allowing for more accurate detection and imaging with reduced noise and increased resolution, while maintaining a lower radiation dose.
Implementation Method 1
respective photon counting channels configured to generate a signal in response to a detected radiation photon
Data Source
AI summary
Among other things, one or more techniques and/or systems are described for creating virtual channels in a photon emitting imaging modality. The imaging modality comprises a plurality of photon counting channels. Information yielded from two or more photon counting channels during a same or similar acquisition view may be combined to yield a virtual channel that represents a portion of the detection surface substantially equivalent to an area comprised by the two or more photon counting channels. In one example, within a same acquisition view, some virtual channels may comprise a different number of photon counting channels than other virtual channels. Also, different sets of virtual channels may be created for a same acquisition view to produce different images from a single set of data, for example, where there may be overlap between virtual channels such that the same photon counting channel is comprised in more than one virtual channel.