2D X-ray Detector ROI Table for Cone-Beam CT Imaging Speed
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Solution Overview
Problem
Conventional two-dimensional X-ray detectors face limitations in high-speed imaging due to high data transfer rates, requiring either reduced resolution or prolonged imaging times, which are not suitable for high-resolution cone-beam CT systems.
Innovation Solution
A two-dimensional X-ray detector with a dynamically settable region-of-interest (ROI) using an embedded ROI table, allowing for high-resolution ROI data acquisition and applying binning techniques to non-ROI data to reduce the overall data amount, coupled with an image processor for tomogram reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the pixel size of the X-ray detector is decreased to increase resolution, then the resolution of the CT image is improved, but the data transfer rate becomes insufficient and imaging speed decreases
Solution Approach 1:
The detector data is segmented into region-of-interest (ROI) and non-ROI portions. High-resolution data is acquired only for the ROI area where diagnostic information is most needed, while lower resolution is acceptable for peripheral areas. This segmentation allows the system to maintain high image resolution in critical regions while reducing overall data volume and transfer requirements, thereby improving imaging speed without sacrificing essential diagnostic quality.
Solution Approach 2:
Different resolution qualities are applied to different regions of the detector output. The ROI region receives high-resolution treatment with full pixel detail, while non-ROI regions use reduced resolution. This local quality differentiation optimizes the balance between image quality and data transfer efficiency, as high resolution is concentrated where most needed rather than uniformly applied across the entire detector array.
2Area of stationary object
If the number of pixels of the X-ray detector is increased to cover the target object, then the coverage and resolution are improved, but the amount of projection data increases and data transfer becomes a bottleneck
Solution Approach 1:
The system extracts and processes only the essential high-resolution data from the ROI region, separating it from the less critical non-ROI data. By taking out only the necessary high-resolution information for transmission and further processing, the system reduces the effective data volume that must be handled at high speeds, while still maintaining comprehensive detector coverage for complete object visualization.
3Productivity
If binning technique is applied to reduce data amount, then the data transfer rate is improved, but the resolution of the projected image is reduced
Solution Approach 1:
The binning technique is applied selectively only to non-ROI regions, while ROI regions maintain full-resolution individual pixel data. This local application of binning improves data transfer efficiency for peripheral areas that don't require high resolution, while preserving measurement precision in the diagnostically critical ROI regions. The system thus achieves improved data transfer rates without sacrificing essential image 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
Enables high-speed imaging with reduced data transfer rates by selectively focusing on high-resolution ROI data and lowering non-ROI data resolution, thereby enhancing imaging speed and efficiency while maintaining high-resolution imaging capabilities.
Implementation Method 1
A computed tomography (CT) system using X-rays utilizes the effect of attenuation of X-rays transmitted through an object. When X-rays are transmitted through an object, the intensity of the X-rays is attenuated by physical effects such as photoelectric absorption and Compton scattering.
Implementation Method 2
When X-rays are transmitted through an object, the intensity of the X-rays is attenuated by physical effects such as photoelectric absorption and Compton scattering.
Implementation Method 3
When X-rays are transmitted through an object, the intensity of the X-rays is attenuated by physical effects such as photoelectric absorption and Compton scattering.
Data Source
AI summary
Disclosed herein are a two-dimensional X-ray detector provided with a table of the position and size of a region-of-interest so as to change the position and size of the region-of-interest for each frame, and a cone-beam CT apparatus using the same and an operation method thereof. ROI projection data of a high resolution for a set ROI may be acquired, and the binning technique may be applied to non-ROI projection data created by the X-rays emitted onto a non-ROI region to acquire low-resolution data. Thereby, the amount of projection data may be reduced.