CT Data Compression Using Dual-Method Selection
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Solution Overview
Problem
The increasing volume of data sampled by Computed Tomography (CT) systems poses a challenge in data transmission, requiring high bandwidth and speed, which leads to data transmission pressure, necessitating an efficient method for compressing CT data to improve transmission efficiency.
Innovation Solution
A method and system for data compression that employs two different compression techniques: a first method involving channel combination, difference calculation, and lossless coding, and a second method combining data along layer and channel directions based on a target compression ratio, allowing for selection of the appropriate compressed data based on predetermined requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data transmission bandwidth and speed are increased to handle large CT data volume, then data transmission capacity is improved, but system cost and complexity increase
Solution Approach 1:
The patent changes the parameter of data representation by applying multiple compression methods (first compression method with channel combination and difference calculation, second compression method with region-based compression) to transform the data from uncompressed to compressed forms, achieving higher transmission capacity without increasing physical bandwidth
Solution Approach 2:
The patent segments the compression process into multiple independent methods that can be applied to different data regions (center scanning area vs. peripheral areas), allowing selective compression strategies that optimize both compression ratio and image quality while reducing overall data volume for transmission
2Productivity
If data compression is applied to reduce data volume, then transmission efficiency is improved, but image quality may deteriorate
Solution Approach 1:
The patent applies different compression strategies to different regions of the scanning data: the first compression method is applied to the center scanning area where high quality is critical, while the second compression method is applied to peripheral regions where moderate compression is acceptable, thus maintaining overall image quality while achieving efficient compression
Solution Approach 2:
The patent dynamically selects between first and second compression methods based on the specific data characteristics and transmission requirements, allowing the compression strategy to adapt to different scenarios and maintain optimal balance between compression ratio and image quality
3Quantity of substance
If high compression ratio is applied to minimize transmitted data, then transmission cost is reduced, but data loss increases
Solution Approach 1:
The patent performs preliminary processing through channel combination and difference calculation before applying compression, which transforms the data into a form that is more amenable to compression while preserving essential information, thereby achieving higher compression ratios with minimal information loss
Data Source
AI summary
A method and a system for data compression are provided. The method may include: obtaining scanning data to be compressed; compressing the scanning data using a first compression method and a second compression method to obtain a first compressed data and a second compressed data respectively, where a compression ratio of the first compressed data is lower than a compression ratio of the second compressed data; and determining whether the compression ratio of the first compressed data meets a predetermined compression ratio requirement, if yes, determining the first compressed data as a compression result data corresponding to the scanning data, if no, determining the second compressed data as a compression result data corresponding to the scanning data. Scanning data compressed by the method or the system can meet target compression requirements.