CT Detector Data Resampling With Decoupled Filtering Settings
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Solution Overview
Problem
Existing X-ray imaging systems face challenges in data management, leading to increased data size, slower data communication, higher storage requirements, and longer processing times without compromising spatial resolution and noise levels.
Innovation Solution
A decoupled approach to filtering and resampling of CT imaging data, allowing independent selection of filtering and resampling settings to reduce data size while maintaining image quality, using a digital processor to filter and resample X-ray detector data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data size is reduced through filtering and resampling, then data communication speed improves and storage needs decrease, but spatial resolution and noise levels may deteriorate
Solution Approach 1:
The patent applies preliminary filtering and resampling operations to the raw detector data before reconstruction. By pre-processing the data with appropriate filtering (such as ramp filtering or Hamming filtering) and resampling (interpolation) techniques, the system prepares optimized data that reduces communication and storage requirements while maintaining the spatial resolution needed for high-quality reconstructed images.
Solution Approach 2:
The patent changes key parameters including the filtering kernel type, resampling factor, and interpolation method to optimize the balance between data reduction and image quality. By adjusting these parameters, the system can adaptively control the degree of data compression while preserving spatial resolution characteristics required for diagnostic imaging.
2Loss of time
If data size is reduced through filtering and resampling, then processing time decreases, but image quality may be compromised
Solution Approach 1:
The patent performs filtering and resampling as preliminary operations before the computationally intensive reconstruction process. This pre-processing reduces the data volume that requires full reconstruction processing, thereby decreasing overall processing time while maintaining image quality through careful selection of filtering and resampling parameters that preserve essential image information.
Solution Approach 2:
The patent replaces complex mechanical data handling operations with efficient digital signal processing algorithms. By using digital filtering and resampling techniques instead of more complex mechanical or computational approaches, the system achieves faster processing with maintained or improved image quality.
3Quantity of substance
If filtering and resampling are applied to detector data, then data size is reduced and storage needs decrease, but the system complexity increases
Solution Approach 1:
The patent segments the data processing into distinct modular stages: raw data acquisition, filtering stage, resampling stage, and reconstruction stage. Each stage is independently optimized and can be implemented using separate software modules or hardware components, making the overall complex system more manageable and easier to implement while achieving significant data size reduction.
Data Source
AI summary
Various systems and methods are provided for processing computed tomography (CT) data in a CT imaging system. The CT imaging system comprising an X-ray source configured to emit X-rays, an X-ray detector configured to generate sampled digital detector data and a digital processor configured to process the sampled digital detector data. The method comprises filtering, in the digital processor, the sampled digital detector data to generate filtered detector data and resampling, in the digital processor, the filtered detector data to generate resampled detector data. The resampling comprises a reduction in data size of the filtered detector data. The filtering is performed on at least part of the sampled digital detector data according to a filtering setting and the resampling is performed on at least part of the filtered digital detector data according to a resampling setting, wherein the filtering setting and resampling setting are decoupled.