Adaptive X-Ray Detector ROI Resampling for Legacy Imaging Systems
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Solution Overview
Problem
Existing X-ray detectors face challenges in providing cost-effective and high-quality imaging solutions, with amorphous silicon detectors prone to noise and CMOS detectors being too expensive, while flat panel detectors have limitations in flexibility and integration with legacy systems.
Innovation Solution
An X-ray detector system with adaptive resolution capabilities, allowing for a variable region of interest and real-time resampling to maintain a fixed output image resolution, enabling seamless integration with existing systems and flexible zooming without requiring redesign.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advanced flat panel detectors with high resolution are used, then image quality is improved, but system compatibility and integration with legacy systems deteriorates
Solution Approach 1:
The patent implements dynamic resampling that adjusts the mapping between detector pixels and output pixels based on the region of interest. The control unit dynamically calculates resampling factors and applies different resampling strategies (e.g., nearest neighbor, bilinear, bicubic) depending on the zoom level and ROI position, enabling the system to adapt to different detector resolutions while maintaining compatibility with fixed-resolution output interfaces
Solution Approach 2:
The system changes the parameter of output image resolution from being fixed by hardware to being dynamically determined by software processing. By introducing a control unit that performs real-time resampling and ROI mapping, the system can transform high-resolution detector output into various output resolutions, making it compatible with legacy systems without sacrificing detector quality
2Measurement precision
If the number of detector pixels is increased, then image detail is improved, but data transmission requirements and processing complexity increases
Solution Approach 1:
The patent extracts only the necessary portion of the high-resolution detector data by implementing region of interest (ROI) selection. The control unit identifies the ROI, maps it to the output image dimensions, and performs resampling only on the selected region rather than processing the entire detector array. This extraction approach reduces data transmission requirements and processing complexity while preserving essential image details
Solution Approach 2:
The system performs partial processing by applying resampling only to the ROI portion of the detector image rather than the entire image. This partial action approach reduces computational complexity and data transmission requirements while maintaining sufficient image detail for diagnostic purposes in the region of interest
3Adaptability or versatility
If zoom functionality is added to allow variable region of interest, then flexibility is improved, but system complexity and processing requirements increases
Solution Approach 1:
The control unit performs multiple functions: it selects the region of interest, calculates resampling factors, performs the actual resampling operation, and manages the mapping between detector coordinates and output image coordinates. By consolidating these functions into a single control unit, the system achieves flexibility without proportionally increasing overall system complexity
Solution Approach 2:
The patent replaces physical zoom mechanisms with digital resampling processing. Instead of using mechanical lenses or physical magnification systems, the control unit performs software-based resampling of the detector image to achieve zoom effects. This substitution reduces mechanical complexity while providing flexible zoom functionality through computational methods
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 cost-effective deployment of advanced detectors in existing systems by maintaining image quality and flexibility, allowing real-time image processing and integration with minimal system changes, and supporting various detector types without altering hardware interfaces.
Implementation Method 1
detector pixels are configured to receive X-rays, and convert received X-rays into electric signals representative of values indicative of the received X-rays
Data Source
AI summary
An X-ray detector comprises a detector panel (100) comprising a surface with a plurality of detector pixels, wherein the detector pixels are configured to convert received X-rays into electric signals representative of values indicative of the received X-rays. A data interface (308) transmits images having a fixed number of output pixels. A control unit controls to set (401) a region of interest comprising at least a subset of the plurality of detector pixels, wherein a number of detector pixels in the region of interest is independent of the number of output pixels. The control unit maps (403) the region of interest onto an output image having the fixed number of output pixels. The control unit resamples (404) the detector pixels within the region of interest to obtain values for the output pixels of the output image, and transmits (405) the output image via the data interface.