Image Data Management via Segmented Storage and Indexing
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Solution Overview
Problem
The management of large amounts of image data from scans, such as those generated by micro CT devices in preclinical life science research, poses challenges in storage and consistency between raw data and reconstruction images.
Innovation Solution
A method and system for image data management that involves storing raw data and generating information related to it, then reconstructing the data into images using separate processes and storage spaces, thereby decoupling the management of raw data and reconstruction images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If large amounts of image data are stored for scan management, then data completeness is improved, but storage resource occupation increases
Solution Approach 1:
The patent segments the storage system into multiple storage spaces (first storage space for raw data, second storage space for index information, third storage space for reconstruction images). This segmentation allows different types of data to be stored separately, improving storage efficiency while maintaining data completeness through the index that tracks relationships between raw data and reconstruction images.
2Reliability
If raw data and reconstruction images are managed together, then data consistency is improved, but processing efficiency decreases
Solution Approach 1:
The patent separates the management of raw data and reconstruction images into independent processes and storage spaces. The first process manages raw data storage, the second process manages index information, and the third process manages reconstruction image generation. This segmentation improves processing efficiency by allowing parallel operations while maintaining data consistency through the index that links raw data to their corresponding reconstruction images.
Solution Approach 2:
The patent introduces an index (second information) as an intermediary between raw data and reconstruction images. This index stores mapping relationships and allows efficient retrieval of corresponding data without requiring direct management of both raw data and reconstruction images together, thus improving processing efficiency while maintaining consistency.
3Productivity
If separate processes are used for raw data storage and image reconstruction, then processing efficiency is improved, but system complexity increases
Solution Approach 1:
The patent divides the image data management system into separate processes (first process for raw data storage, second process for index management, third process for reconstruction) and assigns each to dedicated storage spaces. This segmentation improves processing efficiency through parallelization while managing system complexity by organizing the modular architecture with clear process boundaries and standardized data flow between processes.
Data Source
AI summary
Systems and methods for image data management are provided. The methods may include by running a first process, storing raw data collected in a scan of a subject into first storage space of the at least one storage device, and generating first information relating to the raw data. The methods may include by running a second process, obtaining the first information from the first process and storing the first information into second storage space of the at least one storage device. The methods may further include reconstructing the raw data into a reconstruction image of the subject based on the first information.