Spectral Image Reconstruction Using Detector Correlation Values
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Solution Overview
Problem
Spectral imaging detectors face challenges due to charge sharing effects, leading to image noise, reduced resolution, and bias in reconstructed images, as detector values from multiple elements are strongly correlated.
Innovation Solution
An apparatus and method that incorporate a detector value providing unit, a correlation value providing unit, and a spectral image reconstruction unit to utilize correlation values alongside detector values, compensating for correlations between detector elements and energy bins to reduce noise and improve image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If spectral imaging detectors with multiple detector elements are used, then spectral image data can be acquired across multiple energy bins, but detector values become strongly correlated due to charge sharing effect, introducing noise and reducing resolution
Solution Approach 1:
The patent converts the harmful charge sharing effect into a useful signal by measuring correlation values between adjacent detector elements. Instead of treating the correlated detector values as noise to be eliminated, the invention models the correlation structure and uses it to identify and remove true noise, thereby transforming the harmful correlation into a beneficial diagnostic tool for noise reduction
Solution Approach 2:
The patent introduces correlation values as an intermediary parameter that mediates between raw detector values and final spectral images. These correlation values serve as a bridge that captures the relationship between adjacent detector elements, allowing the reconstruction algorithm to account for charge sharing effects and produce cleaner images with reduced noise and bias
2Loss of information
If detector values from multiple detector elements are used for spectral image reconstruction, then spectral information is captured, but the correlation between detector values reduces resolution and introduces bias
Solution Approach 1:
The patent implements a feedback mechanism where correlation values computed from detector measurements are fed back into the image reconstruction process. The correlation values provide feedback about the relationship between adjacent detector elements, allowing the algorithm to adjust the reconstruction to compensate for charge sharing effects and maintain both spectral information and spatial resolution
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 approach effectively reduces noise, enhances image resolution, and decreases bias in reconstructed spectral images by accounting for correlations between detector values, resulting in improved image quality.
Implementation Method 1
a detector comprising a direct conversion material directly converting the radiation into an electrical signal
Data Source
AI summary
The invention relates to an image reconstruction apparatus comprising a detector value providing unit for providing detector values for each detector element of a plurality of detector elements forming a radiation detector and for each energy bin of a plurality of predefined energy bins, a correlation value providing unit for providing correlation values, wherein a correlation value is indicative of a correlation of a detector value detected by a detector element in an energy bin with at least one of a) a detector value detected by another detector element in the energy bin, b) a detector value detected by another detector element in another energy bin, and c) a detector value detected by the detector element in another energy bin, and a spectral image reconstruction unit for reconstructing a spectral image based on the detector values and the correlation values.