Decentralized MRI Control Architecture for Scalable Component Expansion
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Solution Overview
Problem
Conventional magnetic resonance systems face limitations in scalability and cost-effectiveness due to centralized control systems, which can lead to bottlenecks and under-capacities as technology advances, especially in managing precise temporal correlations among components like magnetic field generation, gradient coils, and radio-frequency coils.
Innovation Solution
A decentralized magnetic resonance system architecture is implemented, where digital modules are externally arranged with the control computer, utilizing a data network for communication and a synchronous network for synchronization, allowing for nearly unlimited and cost-effective expansion, with a common system clock ensuring precise timing and coherence in measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a centralized control system is used, then control precision and coordination are maintained, but system scalability and expansion capability are limited
Solution Approach 1:
The control system is segmented into a centralized control computer and multiple distributed digital modules. Each digital module is assigned specific control tasks for particular components (gradient coils, RF coils, etc.), allowing the system to scale by adding or removing modules without redesigning the entire control architecture. This segmentation resolves the contradiction by enabling scalability while maintaining coordinated control through the central computer's orchestration.
Solution Approach 2:
The invention transitions from a purely centralized control architecture to a hybrid architecture that adds a spatial dimension to control distribution. Digital modules are physically distributed near their controlled components but logically coordinated through the central control computer via data network. This dimensional change enables both scalability (by adding modules in new locations) and maintained coordination (through networked communication).
2Adaptability or versatility
If digital modules are integrated into the control computer, then synchronization is simplified, but expansion capability and cost-effectiveness are reduced
Solution Approach 1:
A synchronous network acts as an intermediary between the control computer and distributed digital modules to maintain precise synchronization. The synchronous network provides dedicated timing signals and coordination messages that ensure all modules operate in precise temporal correlation despite their physical distribution. This intermediary mechanism resolves the contradiction by enabling expansion while preserving synchronization precision that would be difficult to achieve through standard data network communication alone.
Solution Approach 2:
The system establishes synchronization protocols and timing relationships in advance through the synchronous network before actual measurement sequences begin. Digital modules receive and cache timing information, trigger sequences, and coordination data beforehand, allowing them to execute precise temporal correlations autonomously during measurements. This preliminary action enables distributed modules to maintain synchronization precision without requiring continuous real-time communication for every timing decision.
3Adaptability or versatility
If a data network is used for communication, then system flexibility and expansion are improved, but timing precision and synchronization may be compromised
Solution Approach 1:
The invention merges two distinct network functions into a unified communication infrastructure: the data network handles flexible information exchange between the control computer and digital modules, while the synchronous network handles precise timing and coordination. Both networks operate concurrently and are integrated at the digital module level, which processes both data and timing signals. This merging resolves the contradiction by allowing the system to simultaneously achieve flexibility through data network communication and timing precision through synchronous network integration.
Data Source
AI summary
A magnetic resonance system has components that include a magnetic field generation unit for generation of a basic magnetic field, gradient coils for generation of a field gradient as well as a radio-frequency coil arrangement with a number of radio-frequency coils for transmission and reception of radio-frequency signals. These components can respectively be activated according to a sequence via at least one digital module and at least one analog module. The analog modules are arranged externally to a control computer controlling the digital modules. The digital modules also are arranged externally to the control computer and are associated with the analog module or modules controlled by said digital modules. A data network is provided for communication between the digital modules and the control computer and a synchronous network is provided for synchronization of the digital modules and the control computer.