Automatic Fat Suppression Selection in MR Imaging
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Solution Overview
Problem
Current Magnetic Resonance (MR) systems face challenges in automatically selecting the optimal fat suppression mode, requiring skilled operators due to various adjustment options and factors influencing the choice, which can lead to errors and suboptimal imaging results, especially in situations with tissue components having different resonant frequencies.
Innovation Solution
An automatic method for controlling the MR examination sequence determines sequence parameters such as inhomogeneity and distance from the center, allowing the system to select between spectrally selective RF pulses and the DIXON method for fat suppression, based on predefined limit values, to choose the most suitable suppression option for the specific situation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple fat suppression methods (spectrally selective RF pulses and DIXON method) are provided with adjustment options, then the adaptability to different tissue components and imaging requirements is improved, but the device complexity and ease of operation deteriorate due to requiring skilled operators for optimal selection
Solution Approach 1:
The system automatically determines sequence parameters (such as echo time TE, flip angle, and other imaging parameters) and selects the optimal fat suppression method without requiring operator intervention. The controller autonomously evaluates the imaging requirements and tissue characteristics to choose between spectrally selective RF pulses and DIXON method, making the system self-sufficient and eliminating the need for skilled operators to manually configure suppression parameters
Solution Approach 2:
The system dynamically adjusts sequence parameters based on the determined imaging requirements and tissue characteristics. By automatically modifying parameters such as echo time, flip angle, and other sequence settings, the system optimizes fat suppression performance for different tissue components while maintaining ease of operation through automated parameter selection and adjustment
2Productivity
If automatic selection of suppression method is implemented, then the ease of operation and productivity are improved, but the measurement precision and reliability may deteriorate due to automated decision-making limitations
Solution Approach 1:
The system incorporates feedback mechanisms where the controller continuously monitors sequence parameters and imaging results to verify the accuracy of automatic suppression method selection. By comparing actual imaging outcomes with expected results and adjusting parameters accordingly, the system ensures reliable fat suppression while maintaining high productivity through automated operation
Solution Approach 2:
The system performs preliminary determination of sequence parameters and imaging requirements before executing the fat suppression sequence. By pre-calculating optimal parameters and selecting the appropriate suppression method in advance based on stored reference data and tissue characteristics, the system ensures reliable results while improving productivity through automated preliminary decision-making
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
This approach simplifies the selection process, reduces operator dependency, and improves image quality by automatically selecting the best suppression option based on system characteristics and examination parameters, enhancing the robustness against field inhomogeneities and eddy currents, thus reducing artifacts and the need for re-examinations.
Implementation Method 1
The human body has areas in which fat signal components and water signal components are present in the MR signal. Fat and water have a different resonant frequency.
Implementation Method 2
the DIXON method is used, which is based on the fact that fat and water have different phase positions at different echo times.
Data Source
AI summary
In a method for automatic control of an examination sequence in magnetic resonance (MR) system during recording of MR signals in an examination segment of a person being examined, which has two tissue components with two different MR resonant frequencies, an examination sequence for examination of the examination segment is determined. Further, whether the examination sequence includes an imaging sequence in which one of the two tissue components is to be suppressed and for which at least two different suppression options exist to reduce the one of the two tissue components during the recording of the MR signals is determined. In response to the determination that the examination sequencing included the imaging sequence, the method can include determining a sequence parameter of the examination for the imaging sequence; and selecting one of the at least two suppression options as a function of the sequence parameter determined for the imaging sequence.