Photon-Counting X-Ray Calibration for Adaptive Energy Thresholds

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Solution Overview

Problem

Existing X-ray imaging systems, particularly those using multi-bin photon counting detectors, face challenges in optimizing energy bin thresholds for improved image quality and patient dose efficiency, leading to suboptimal contrast-to-noise ratio and increased radiation exposure.

Innovation Solution

A method and system for calibrating X-ray imaging systems with multi-bin photon counting detectors by performing attenuation measurements with varying energy bin thresholds, determining performance metrics, and selecting custom energy bin thresholds based on material composition to enhance image quality and efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If fixed energy bin thresholds are used in multi-bin photon counting detectors, then the device complexity is reduced and operation is simplified, but image quality deteriorates due to suboptimal contrast-to-noise ratio and patient dose efficiency increases due to increased radiation exposure

Engineering Contradiction:
Improveimage qualityVSAvoidenergy bin threshold configuration
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies parameter changes by dynamically adjusting energy bin thresholds based on measured material composition. The system performs attenuation measurements, determines material basis coefficients through decomposition, and adapts the energy bin thresholds to optimize image quality for the specific patient anatomy and imaging task, rather than using fixed thresholds

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent implements dynamics by making the energy bin thresholds adaptive rather than static. The thresholds are adjusted in real-time based on the measured material composition and imaging task requirements, allowing the system to optimize performance for each specific scanning scenario and patient

Inventive Principle:
Principle #15Dynamics

2Ease of operation

If fixed energy bin thresholds are used, then the ease of operation is improved, but the adaptability to different material compositions and imaging tasks deteriorates

Engineering Contradiction:
Improvethreshold settingVSAvoidmaterial composition adaptability
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system applies self-service by automatically determining material composition through attenuation measurements and basis decomposition, then autonomously selecting optimal energy bin thresholds without requiring manual operator intervention. The system serves itself by adapting to different material compositions and imaging tasks

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent changes the energy bin threshold parameters dynamically based on measured material composition and imaging task requirements, enabling the system to adapt to different scanning scenarios automatically

Inventive Principle:
Principle #35Parameter changes

3Loss of energy

If standard energy bin thresholds are used, then the device complexity is minimized, but the patient dose efficiency deteriorates due to increased radiation exposure

Engineering Contradiction:
Improveradiation dose efficiencyVSAvoidcalibration system
Core Design Contradiction:
Loss of energyVSDevice complexity

Solution Approach 1:

The patent applies preliminary action by performing attenuation measurements and determining material composition before final image reconstruction. The system pre-determines the optimal energy bin thresholds based on the measured material basis coefficients, allowing for optimized radiation dose efficiency in subsequent imaging

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system changes energy bin threshold parameters based on preliminary measurements of material composition, enabling optimized radiation dose efficiency without requiring complex real-time adjustments during scanning

Inventive Principle:
Principle #35Parameter changes

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 proposed calibration method improves image quality by optimizing energy bin thresholds, enhancing contrast-to-noise ratio and reducing radiation dose, resulting in a more adaptable and efficient X-ray imaging system.

Implementation Method 1

each registered photon generates a current pulse which is compared to a set of thresholds, thereby counting the number of photons incident in each of a number of energy bins

Methodology Applied
Scientific EffectPhotoelectric Effect: Photoelectric Effect

Implementation Method 2

The emitted X-rays are attenuated by the subject or object as they pass through, and the resulting transmitted X-rays are measured by the X-ray detector

Methodology Applied
Scientific EffectX-Ray Attenuation: Absorption (EM radiation)

Data Source

PatentEP4667979A1Supporting calibration of an x-ray imaging system and adjustment of operational settings
Publication Date: 2025.12.24 GE PRECISION HEALTHCARE LLC
  • EP4667979A1 patent drawingFigure 1A
  • EP4667979A1 patent drawingFigure 1B
  • EP4667979A1 patent drawingFigure 2

AI summary

A system and method for supporting calibration of an X-ray imaging system, wherein the X-ray imaging system comprises a multi-bin photon counting X-ray detector having multiple energy bin thresholds. The method includes performing a set of X-ray attenuation measurements or measurement scans of at least one object, using different settings of the energy bin thresholds and obtaining information about material composition related to the object(s). The method further includes determining, for each X-ray attenuation measurement or measurement scan, a value of at least one performance metric related to the X-ray imaging system and selecting a custom set of energy bin thresholds based on the determined values of the performance metrics over the set of X-ray attenuation measurements or measurement scans. Also, the method includes determining calibration data coupling the selected custom set of energy bin thresholds to at least the information about material composition.