MRI Pulse Sequence Parameter Adjustment via Reference Data
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Solution Overview
Problem
Current magnetic resonance tomography devices face challenges in maintaining consistent excitation behavior and measurement results after software or hardware changes, requiring manual and error-prone adjustments of numerous setting parameters.
Innovation Solution
A magnetic resonance tomography apparatus with a memory for storing reference tomography data and an adjustment computer that adjusts physical parameters of the pulse sequence to match pre-stored reference data, allowing for quick and easy system restart and reducing deviations in tomography data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual adjustment of setting parameters is performed after system change, then excitation behavior can be restored, but the process is complicated and error-prone
Solution Approach 1:
The system automatically compares new tomography data with reference tomography data and adjusts setting parameters without manual intervention. The adjustment computer autonomously identifies deviations and modifies parameters to restore excitation behavior, eliminating the need for manual parameter adjustment by sequence developers.
Solution Approach 2:
The system implements a feedback loop where tomography data is continuously compared against reference data, and setting parameters are automatically adjusted based on the detected deviations. This closed-loop control ensures excitation behavior consistency while eliminating manual intervention.
2Reliability
If numerous setting parameters are manually adjusted, then measurement results can be restored, but time is lost and errors may occur
Solution Approach 1:
The adjustment computer autonomously performs parameter adjustment without requiring sequence developer intervention. The system automatically compares measurement results with reference data and adjusts parameters to restore consistency, significantly reducing system restart time and eliminating human error.
Solution Approach 2:
The manual mechanical process of parameter adjustment by sequence developers is replaced with an automated computer-based system. The adjustment computer uses algorithms to automatically modify setting parameters, replacing the manual trial-and-error process with precise automated control.
3Productivity
If automatic parameter adjustment is implemented, then adjustment speed increases, but understanding of excitation behavior may be lost
Solution Approach 1:
The system maintains a database of reference tomography data and automatically compares new measurements against this reference. The feedback loop provides continuous information about parameter deviations and their effects on excitation behavior, preserving knowledge while enabling rapid automated adjustment.
Solution Approach 2:
The system creates and maintains a digital copy of reference tomography data obtained under known optimal conditions. This reference copy serves as a template that the automated system uses to guide parameter adjustments, preserving the knowledge of optimal excitation behavior without requiring manual expertise.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables rapid and accurate restoration of original measurement results and excitation behavior post-system change, reducing manual intervention and computational complexity, with the ability to optimize magnetic field selectivity and read-out behavior.
Implementation Method 1
magnetic resonance tomography apparatus for generating tomography data of an examination object in a magnetic field by the use of a pulse sequence
Data Source
AI summary
The present invention relates to a magnetic resonance tomography apparatus for generating tomography data of an examination object in a magnetic field by means of an electromagnetic pulse sequence, having a memory for storing reference tomography data of a reference examination object; an acquisition facility for generating tomography data of the reference examination object by means of the pulse sequence; and an adjustment facility for reducing a deviation between the tomography data and the reference tomography data by adjusting a physical parameter in the pulse sequence.