Dynamic Image Reconstruction via Modular Algorithm Containers
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Solution Overview
Problem
Current image reconstruction systems require a predefined reconstruction protocol, making it cumbersome for users to dynamically change or adjust the reconstruction flow, which limits flexibility and user satisfaction.
Innovation Solution
A system and method that dynamically determine reconstruction-related algorithms and containers, allowing for the dynamic determination of a reconstruction flow based on these algorithms to process raw data and generate target images, enabling flexible image reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a predefined reconstruction protocol is used, then the reconstruction process is stable and systematic, but the flexibility to adjust reconstruction flow is poor
Solution Approach 1:
The patent segments the reconstruction protocol into multiple independent reconstruction flows, where each flow represents a distinct processing path. This segmentation allows the system to select and execute only the necessary flows based on user needs, providing flexibility without requiring complete redefinition of the entire protocol.
Solution Approach 2:
The patent introduces dynamic selection mechanisms that allow the system to adaptively choose which reconstruction flows to execute based on real-time requirements. The reconstruction flow selection is no longer static but can be dynamically adjusted, enabling flexible modification of the reconstruction process while maintaining system stability.
2Ease of operation
If the user wants to change the reconstruction flow, then user satisfaction improves, but the need to re-determine the entire protocol increases complexity and time consumption
Solution Approach 1:
The patent performs preliminary organization of reconstruction protocols into standardized, modular flows during system setup. This preliminary structuring allows users to later select and modify specific flows without needing to re-determine the entire protocol from scratch, significantly reducing the time and complexity of making changes.
Solution Approach 2:
By dividing the reconstruction protocol into independent, selectable flows, the system allows users to modify only the specific flow they need to change rather than re-determining the entire protocol. This segmentation dramatically reduces the time and effort required for adjustments.
3Adaptability or versatility
If a fixed reconstruction protocol is implemented, then the system structure is simple, but the adaptability to different user needs is limited
Solution Approach 1:
The patent creates a universal reconstruction framework that can handle multiple different reconstruction scenarios through a standardized set of modular flows. This universal structure provides adaptability to various user needs while maintaining relatively simple system architecture through reuse of common components.
Data Source
AI summary
A system includes a storage device storing a set instructions and a processor in communication with the storage device, wherein when executing the set of instructions, the processor is configured to cause the system to obtain raw data. The processor may also be configured to cause the system to determine one or more reconstruction-related algorithms and determine one or more containers for the one or more reconstruction-related algorithms. Each of the one or more containers may correspond to at least one of the one or more reconstruction-related algorithms. The system may also be configured determine a reconstruction flow based on the one or more containers and process the raw data according to the reconstruction flow to generate a target image.