Magnetic Resonance Control Command Optimization and Validation

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Solution Overview

Problem

Current magnetic resonance image data acquisition methods lack an effective mechanism for optimizing magnetic resonance sequences, leading to potential errors and suboptimal image data quality due to unchecked control command modifications during sequence execution.

Innovation Solution

A method that generates and optimizes control commands for magnetic resonance sequences, followed by a unit test to compare and validate the optimized commands against original ones, ensuring correct execution and preventing errors by confirming no unwanted changes or deviations, thereby ensuring the validity and quality of acquired magnetic resonance image data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If control commands are optimized to improve sequence performance, then image data quality is improved, but errors and deviations may be introduced

Engineering Contradiction:
Improveimage data qualityVSAvoidsequence execution correctness
Core Design Contradiction:
Manufacturing precisionVSReliability

Solution Approach 1:

The patent applies preliminary action by performing a unit test before executing the optimized magnetic resonance sequence. The control command conversion unit generates optimized control commands, and the testing unit validates these commands against the original sequence parameters before actual execution. This preliminary validation ensures that optimizations do not introduce errors, thereby maintaining reliability while achieving improved image data quality.

Inventive Principle:
Principle #10Preliminary action

2Productivity

If optimization of control commands is implemented to enhance sequence performance, then productivity is improved, but device complexity increases

Engineering Contradiction:
Improvesequence execution efficiencyVSAvoidcontrol command management complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent applies segmentation by dividing the control command management into distinct functional units: a control command generation unit that creates optimized commands, and a separate testing unit that validates them. This segmentation allows the system to implement optimization without overwhelming complexity, as each unit has a specific responsibility. The testing unit checks converted commands against original parameters, ensuring productivity gains while managing complexity through modular design.

Inventive Principle:
Principle #1Segmentation

3Reliability

If a testing mechanism is added to validate optimized sequences, then reliability is improved, but loss of time occurs during validation

Engineering Contradiction:
Improvesequence optimization correctnessVSAvoidvalidation time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent applies copying by creating a test version of the control commands that mirrors the original sequence parameters. The testing unit generates converted control commands as copies of the original commands, then compares these copies against the originals to validate correctness. This copying approach enables efficient validation without requiring complete re-execution of the sequence, minimizing time loss while ensuring reliability.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS9835706B2Method and apparatus to acquire magnetic resonance image data
Publication Date: 2017.12.05 SIEMENS HEALTHINEERS AG
  • US9835706B2 patent drawing
  • US9835706B2 patent drawing
  • US9835706B2 patent drawing

AI summary

In a method and apparatus to acquire magnetic resonance image data; an examination subject is positioned in a magnetic resonance apparatus to acquire magnetic resonance image data of the examination subject with a magnetic resonance sequence, and sequence parameters of the magnetic resonance sequence are established. First control commands of the magnetic resonance sequence are generated using the established sequence parameters. The first control commands are optimized so as to generate an optimized magnetic resonance sequence, the optimization of the first control commands including a conversion of the first control commands into optimized control commands. A test to review the optimized magnetic resonance sequence is implemented, the test including a comparison of the first control commands with the optimized control commands. The optimized magnetic resonance sequence is executed to acquire the magnetic resonance image data with the optimized control commands depending on the result of the test.