X-ray Imaging Device Control for Photon Counting Detectors
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Solution Overview
Problem
Current x-ray imaging technologies face challenges in optimizing image quality and reducing patient dose, particularly in CT scans, due to high peak kilovoltages that lead to iodine contrast loss and increased noise, necessitating manual adjustments and multiple image reconstructions.
Innovation Solution
A method and system for automatically determining and adapting operation parameters of x-ray imaging devices, including photon counting detectors, based on patient attenuation properties and image acquisition purposes, to optimize source peak voltage, source current, and energy bin settings, ensuring constant contrast-to-noise ratio and minimizing patient dose.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high peak kilovoltage (120 or 140 kV) is used at the x-ray source, then spectral separation is optimised for dual energy CT, but iodine contrast is lost and image quality deteriorates for contrast enhanced scans
Solution Approach 1:
The system dynamically adjusts the source peak voltage (kVp) based on the clinical task and patient attenuation properties. Instead of using a fixed high voltage for all scans, the control device automatically selects optimal kVp values (e.g., 80 kV, 100 kV, 120 kV, or 140 kV) to maximize iodine contrast while maintaining adequate spectral separation for the specific imaging purpose.
Solution Approach 2:
The system changes the operating parameters of the x-ray source (peak voltage and current) based on input parameters describing patient attenuation and imaging purpose. This allows optimization of the x-ray spectrum for each specific clinical scenario, balancing spectral separation and iodine contrast requirements.
2Reliability
If high peak kilovoltage is used to achieve spectral separation, then dual energy CT capability is maintained, but patient dose increases due to reduced contrast efficiency
Solution Approach 1:
The system automatically adjusts source peak voltage and source current parameters based on patient attenuation properties and imaging purpose. By selecting lower kVp values (80 or 100 kV) when appropriate for contrast-enhanced scans, the system reduces patient dose while maintaining dual energy CT capability through software-based spectral reconstruction from the photon counting detector.
3Manufacturing precision
If manual optimization of image quality is performed after scan by reconstructing multiple images in different combinations, then optimal image quality can be achieved, but time consumption and complexity increase
Solution Approach 1:
The system performs preliminary optimization by automatically determining the optimal reconstruction combination before the user needs to view images. The control device analyzes input parameters (patient attenuation, imaging purpose) and pre-selects the optimal energy bin combinations and reconstruction parameters, so that when images are reconstructed, they are already optimized for the specific clinical task without requiring manual trial-and-error by the radiologist.
Solution Approach 2:
The system makes the optimization process self-service by automatically selecting reconstruction parameters and energy bin combinations based on the clinical task and patient properties. This eliminates the need for manual intervention to optimize image quality, as the system autonomously determines the optimal settings and performs the reconstruction accordingly.
4Ease of operation
If fixed mixing ratio of high and low kV data is used for reconstruction, then processing is simplified, but image quality cannot be optimized for specific clinical tasks
Solution Approach 1:
The system dynamically adjusts the mixing ratio of high and low kV data in the reconstruction process based on the clinical task and patient attenuation properties. Instead of using a fixed mixing ratio for all scans, the control device automatically selects optimal weighting factors for combining data from different energy bins, allowing image quality optimization for each specific clinical scenario while maintaining automated processing.
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 more efficient use of photon counting detectors, optimizing image quality while reducing patient dose by dynamically adjusting operation parameters, such as energy thresholds and weighing parameters, to achieve optimal contrast and noise ratios for specific clinical tasks.
Implementation Method 1
In every pixel, the number of converted x-ray photons is counted, in particular in at least one energy bin (energy interval), which may be defined by at least one energy threshold
Data Source
AI summary
A method is for controlling an x-ray imaging device, in particular a computed tomography device. The x-ray imaging device includes an x-ray source and a photon counting detector as an x-ray detector. The methods includes, for an image acquisition process of a patient: determining at least one input parameter relating to at least one of an attenuation property of the patient and a purpose of the image acquisition; at least one of determining or adapting at least one operation parameter of the x-ray detector, dependent upon the at least one input parameter determined; and performing the image acquisition using the at least one operation parameter determined or adapted.