MRI Movement Detection Calibration via Passive Training
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Solution Overview
Problem
Current movement detection methods in magnetic resonance imaging (MRI) lack effectiveness in capturing involuntary movements of patients, such as cardiac and respiratory movements, which complicates the workflow and requires active patient participation during training phases.
Innovation Solution
A method and apparatus for calibrating movement detection in MRI using a movement apparatus to record training data, where the examination object is passively moved, allowing for the capture of physiological movements like periodic oscillations, and utilizing pilot signals modulated by the movement to improve detection robustness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If active patient participation is required during training phases, then movement detection can be trained, but the examination workflow becomes more complex and time-consuming
Solution Approach 1:
The movement apparatus automatically performs the training phase by passively moving the examination object according to predefined movement patterns. The system generates and processes training data autonomously without requiring active patient participation, thereby simplifying the workflow while maintaining detection accuracy
Solution Approach 2:
The training phase is performed beforehand by the movement apparatus in a controlled manner, preparing the movement detection method with training data before the actual examination. This preliminary automated training eliminates the need for active patient involvement during the examination itself
2Extent of automation
If passive movement of examination object is used, then automated training data recording is enabled, but the movement detection method needs more complex calibration
Solution Approach 1:
The movement detection method uses feedback from the training data recorded during passive movement to automatically adjust and calibrate its parameters. The system processes the training data to optimize its movement detection capabilities, enabling automated calibration without requiring complex manual intervention
Solution Approach 2:
The calibration process involves automatically adjusting parameters of the movement detection method based on the training data. The system modifies detection parameters through processing training data from passive movement, enabling automated adaptation without complex manual calibration procedures
3Measurement precision
If training phase is added to examination process, then movement detection accuracy improves, but examination time increases
Solution Approach 1:
The training phase is completed beforehand by the movement apparatus in a controlled setting, so that when the actual examination begins, the movement detection method is already calibrated and ready for efficient operation, minimizing time loss during the examination itself
Solution Approach 2:
The training data recording during passive movement continues seamlessly into the examination process, allowing the movement detection method to operate continuously with improved accuracy without requiring separate discrete training sessions that would extend examination time
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
The method enables more accurate and automated movement detection during MRI scans, simplifying the examination process by eliminating the need for active patient movement and improving the robustness of movement detection, particularly for involuntary movements.
Implementation Method 1
During the training phase, the examination object is moved by the movement apparatus
Implementation Method 2
the movement detection method provides a recording of signals, on the basis of which a, in particular physiological, movement of the examination object can be detected. Such signals can be, for example, pilot signals modulated, in particular, by a movement of the examination object
Data Source
AI summary
A movement detection method is calibrated for a magnetic resonance apparatus. An examination object is positioned on a movement apparatus. During a training phase, training data is recorded according to the movement detection method, wherein the examination object is simultaneously moved by the movement apparatus. The movement detection method is calibrated on the basis of the training data.