X-ray CT Data Compression via Grouping and Restoration
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Solution Overview
Problem
High-definition X-ray CT apparatuses generate larger volumes of data due to increased numbers of smaller X-ray detecting elements, leading to longer reconstruction times when restoring original data for image quality equivalent to normal X-ray CT apparatuses.
Innovation Solution
The X-ray CT apparatus employs a data compression method that groups and averages pre-compression data, generating 'grouped data' and 'difference data' to reduce data volume, allowing for efficient compression and restoration, with optional modes for image reconstruction using either pre-compression or grouped data, optimizing processing time and image resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-definition detector with more X-ray detecting elements is used, then image resolution is improved, but data volume increases
Solution Approach 1:
The patent segments the large volume of high-definition projection data into multiple data groups based on detecting element positions. By dividing the detector array into different groups and processing them separately, the system manages the large data volume more efficiently while preserving the high resolution information from all detecting elements
Solution Approach 2:
The patent merges data from multiple detecting elements through grouping and averaging operations. By combining signals from multiple elements into grouped data, the system reduces the overall data volume while maintaining the enhanced resolution benefits through selective restoration processes
2Measurement precision
If original high-definition data is restored for reconstruction, then image quality is maintained, but reconstruction time increases
Solution Approach 1:
The patent implements a dynamic data processing approach where the system can switch between using full high-definition data and grouped/averaged data based on the specific reconstruction requirements. This dynamic selection allows optimization between image quality and reconstruction time for different clinical scenarios
Solution Approach 2:
The patent changes the data representation parameters by creating multiple data groups with different levels of detail. By adjusting which data groups are used for reconstruction, the system can vary the effective resolution and processing time parameters to match clinical needs
3Productivity
If data compression is applied to reduce data volume, then transmission and storage efficiency is improved, but restoration complexity increases
Solution Approach 1:
The patent performs preliminary grouping and averaging of the high-definition data before transmission or storage. By pre-processing the data into compressed groups with associated averaging information, the system reduces the data volume early in the workflow while maintaining the capability to restore original quality when needed
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 reduces data transmission time and storage capacity while enabling flexible processing options, allowing for real-time reconstruction in lower resolution modes while maintaining higher resolution when needed, thus addressing the inefficiencies in data handling of high-definition systems.
Implementation Method 1
The first processing circuitry groups the plurality of pieces of pre-compression data to generate grouped data corresponding to the pre-compression data in each group, and generates data for restoration for restoring the pre-compression data
Data Source
AI summary
In one embodiment, an X-ray CT apparatus includes an X-ray tube that radiates, an X-ray, a detector that outputs a plurality of pieces of pre-compression data on a basis of the X-ray first processing circuitry and second processing circuitry. The first processing circuitry groups the plurality of pieces of pre-compression data to generate grouped data corresponding to the pre-compression data in each group, and generates data for restoration for restoring the pre-compression data, wherein the first processing circuitry transmits the grouped data and the data for restoration to the second processing circuitry. And the second processing circuitry selects any of a first reconstruction mode in which image reconstruction is performed based on the plurality of pieces of pre-compression data; and a second reconstruction mode in which image reconstruction is performed based on the data for restoration, and generates an image, and in a case of performing image reconstruction in the first reconstruction mode, the second processing circuitry restores the pre-compression data based on the grouped data and the data for restoration.