CT Prompt Storage for On-Demand Generative Data Regeneration
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Solution Overview
Problem
The increasing amount of generative information generated by generative AI poses a challenge due to the need for long-term storage, which leads to data volume expansion, especially in medical applications where diagnostic information is saved for extended periods.
Innovation Solution
An X-ray CT apparatus and information processing system that utilizes a generative model to generate and store prompts as storage target data, allowing for the regeneration of generative information on demand by re-inputting stored prompts, thereby reducing the need to save all generated information for a long term.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all generated generative information is stored for long term, then information availability is improved, but data storage volume increases
Solution Approach 1:
The patent extracts and stores only the essential prompts that generate medical image data, rather than storing all generated generative information. This selective extraction maintains the ability to regenerate necessary information while significantly reducing storage volume requirements.
Solution Approach 2:
Instead of storing large volumes of generated medical image data, the system stores compact prompt representations that can be used to regenerate the original images on demand. This copying approach preserves information availability while minimizing storage requirements.
2Adaptability or versatility
If prompts and corresponding generative information are stored, then data regeneration capability is improved, but storage management complexity increases
Solution Approach 1:
The system performs preliminary organization of prompts and their corresponding generative information during the initial storage phase. This preliminary action establishes a structured relationship between prompts and generated data, simplifying subsequent retrieval and regeneration operations.
Solution Approach 2:
The patent implements feedback mechanisms that track which prompts have been stored and their corresponding generative information status. This feedback system automates storage management decisions, reducing manual complexity while maintaining regeneration capability.
Data Source
AI summary
An X-ray CT apparatus according to an embodiment includes an X-ray tube, an X-ray detector, a memory, and processing circuitry connected to the memory. The X-ray tube irradiates a subject with X-rays. The X-ray detector detects X-rays emitted from the X-ray tube. The processing circuitry generates a prompt. The processing circuitry inputs the prompt to a generative model and acquires generative information from the generative model. The memory stores, as storage target data, the prompt out of the generative information and the prompt corresponding to the generative information. An embodiment discloses an information processing apparatus including the memory and the processing circuitry connected to the memory, an information processing method, and a recording medium.