Medical Image Storage Using Split Metadata and Sub-Image Access
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Solution Overview
Problem
Current cloud storage systems for medical data, particularly image data, face inefficiencies in storage and query speed due to the need to upload and download large files in their entirety, which hampers storage efficiency and query speed.
Innovation Solution
A system that separates metadata and image data, encrypts and compresses the metadata, and divides image data into sub-image datasets for storage on different devices, allowing for efficient storage and retrieval by storing metadata on one device and sub-image datasets on another, with access information linking the two.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image data is stored as a complete file on a cloud server, then data integrity is maintained, but storage efficiency and query speed deteriorate due to the need to upload and download entire files
Solution Approach 1:
The patent divides image data into multiple sub-image datasets and stores them separately on different storage devices. Only metadata and access information are stored on the cloud server, enabling partial data retrieval without transferring complete files. This segmentation resolves the contradiction by improving storage efficiency and query speed while managing complexity through structured data organization.
2Speed
If complete image files are uploaded to cloud storage, then data completeness is ensured, but query speed deteriorates due to large data transfer requirements
Solution Approach 1:
The patent extracts essential access information and metadata from complete image files and stores them on the cloud server, while the actual sub-image datasets remain on local or distributed storage devices. When querying, only the small metadata and access information need to be transferred, dramatically reducing data transfer volume and improving query speed while maintaining data completeness.
3Reliability
If metadata is encrypted and compressed, then security and storage efficiency are improved, but processing complexity increases
Solution Approach 1:
The patent applies encryption and compression to metadata during the initial storage phase, before retrieval operations. This preliminary processing ensures security and storage efficiency are built into the system architecture, while retrieval operations only require decryption and decompression of already-processed metadata, minimizing processing complexity during actual use.
Data Source
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AI summary
A method for data storage may be provided. The method may include storing metadata of an image file onto a first storage device. The method may include dividing image data of the image file into at least one sub-image data set. The method may also include storing each sub-image data set of the at least one sub-image data set, onto a second storage device of at least one second storage device. The method may further include storing access information of the at least one second storage device onto the first storage device.