Dynamic Image Reconstruction Flow Assembly
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Solution Overview
Problem
Current image reconstruction systems are static and require re-determination of reconstruction protocols for changes, making dynamic and discrete determination of reconstruction flows challenging.
Innovation Solution
A system and method that include a processor and storage device to dynamically determine reconstruction-related algorithms and containers, allowing for the dynamic assembly and revision of reconstruction flows based on available hardware resources, enabling flexible processing of raw data to generate target images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a static reconstruction protocol is determined, then the reconstruction process is stable and manageable, but the system cannot adapt to user needs or change reconstruction flows dynamically
Solution Approach 1:
The patent implements dynamic reconstruction flow determination by allowing the reconstruction protocol to be adjusted in real-time based on user needs and system state. The system transitions from a fixed static protocol to a dynamic one where reconstruction parameters and flows can be modified during operation, enabling adaptability without requiring complete re-determination of protocols.
Solution Approach 2:
The reconstruction system is divided into independent modules or components that can be selectively activated or modified. This segmentation allows specific parts of the reconstruction flow to be changed without affecting the entire system, managing complexity while enabling dynamic adaptation through modular architecture.
2Productivity
If the reconstruction protocol is fixed, then the system is easy to operate, but any changes require re-determining the entire protocol which is time-consuming
Solution Approach 1:
The system enables dynamic modification of reconstruction parameters and flows during operation, eliminating the need to re-determine entire protocols when changes are needed. This dynamic capability allows rapid adjustments to reconstruction settings based on user requirements or system conditions.
Solution Approach 2:
The system pre-establishes a framework or template for reconstruction protocols that can be quickly adapted. By having a pre-defined structure in place, the system allows for rapid modification of specific parameters without needing to re-determine the entire protocol from scratch, significantly reducing adjustment time.
3Ease of operation
If reconstruction flows are determined dynamically, then user satisfaction and flexibility improve, but the system complexity and resource management become more challenging
Solution Approach 1:
The system provides dynamic control over reconstruction flows, allowing users to adjust parameters and select different reconstruction approaches in real-time. This dynamic control enhances user satisfaction and flexibility while the system manages the underlying complexity through automated resource allocation and protocol adaptation.
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.