Medical Image Data Compression via Preliminary Action
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Solution Overview
Problem
Current methods for acquiring medical image data sets require high-performance devices and significant storage and transfer capabilities due to the large volume of raw data generated by imaging devices like MRI scanners, which can be costly and inefficient.
Innovation Solution
A method involving an image acquisition device, data compression device, data decompression device, and image calculation tool that compresses raw medical image data streams, reduces data volume, and then decompresses them for processing, allowing for lower technical requirements and more efficient storage and transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If raw medical image data is stored and transferred in its entirety, then complete image information is preserved, but storage capacity and data transfer requirements become excessively large
Solution Approach 1:
The patent applies preliminary compression action to the raw medical image data before storage and transfer. The compression device processes the data stream in advance, reducing its volume to a manageable size while preserving essential image information, thereby avoiding the need for excessive storage capacity and high-speed transfer infrastructure
Solution Approach 2:
The patent introduces compression and decompression devices as intermediary components between the image acquisition device and the image calculation tool. These intermediaries handle the data volume reduction and restoration, allowing standard storage and transfer infrastructure to suffice without compromising image quality or processing capability
2Productivity
If high-performance devices with high storage capacity and fast transfer rates are used, then large medical image data volumes can be handled, but device cost and complexity increase
Solution Approach 1:
The compression device performs preliminary data reduction before the data reaches the storage and transfer infrastructure. This preliminary action allows standard, less expensive hardware to handle the data processing tasks that would otherwise require high-performance, costly equipment
Solution Approach 2:
The compression and decompression devices act as intermediaries that bridge the gap between high data generation capability and standard hardware limitations. By reducing data volume before it reaches storage and transfer systems, the patent enables productivity to be maintained while using simpler, more cost-effective hardware
3Quantity of substance
If data compression is applied to reduce data volume, then storage and transfer requirements are lowered, but data processing complexity increases due to compression and decompression operations
Solution Approach 1:
The compression and decompression devices are implemented as specialized intermediary components that handle the data volume reduction and restoration. By isolating these operations in dedicated devices, the patent manages processing complexity while achieving effective data reduction, rather than attempting to handle all processing within a single complex system
Data Source
AI summary
In a method, device and system for obtaining a medical image data set, a raw data stream is produced by a data acquisition device, the raw data stream including at least digital data of a medical raw data image set. The raw data stream is provided to a data compression device, wherein it is compressed. The compressed raw data stream is transferred to a data decompression device, wherein it is decompressed. The decompressed raw data stream is transferred to an image calculation tool, which produces a medical image data set operating on the decompressed raw data stream.