MRI Motion Detection Pulse Repositioning via Diaphragm Data
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Solution Overview
Problem
Magnetic resonance imaging (MRI) systems face challenges in accurately positioning motion detection pulses for heart imaging due to breathing motion, leading to inconsistent image quality and the need for frequent repositioning, which can be time-consuming and operator-dependent.
Innovation Solution
The MRI apparatus employs a processor-controlled system that performs a preparation scan to acquire multi-slice data covering both the diaphragm and heart, allowing for internal calculation-based repositioning of motion detection pulses by comparing initial and secondary data sets, thereby correcting the position of the motion detection pulses and slice images automatically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual repositioning of motion detection pulses is performed by operator intervention, then positioning can be adjusted, but time consumption increases and operator dependency increases
Solution Approach 1:
The system performs self-positioning by automatically detecting diaphragm motion from re-acquired multi-slice data and calculating correction amounts without operator intervention. The processor autonomously repositions motion detection pulses based on detected breathing motion, eliminating manual adjustment while maintaining positioning accuracy.
Solution Approach 2:
The system re-acquires multi-slice data as a preliminary step to detect diaphragm position before adjusting motion detection pulses. This preliminary data acquisition enables automatic positioning calculations to be performed, reducing the need for time-consuming manual repositioning during the imaging process.
2Reliability
If motion detection pulses are repositioned frequently to account for breathing motion, then image quality improves, but imaging time increases
Solution Approach 1:
The system continuously monitors diaphragm position by detecting motion from re-acquired multi-slice data and uses this feedback to automatically adjust motion detection pulse positions. This closed-loop feedback mechanism maintains image quality by accounting for breathing motion while minimizing the need for frequent manual interventions that would extend imaging time.
Solution Approach 2:
The system dynamically adjusts motion detection pulse positions based on real-time detection of diaphragm motion from re-acquired data. This dynamic repositioning adapts to breathing patterns during imaging, ensuring consistent image quality without requiring fixed, conservative timing margins that would reduce productivity.
3Extent of automation
If automatic repositioning using re-acquired multi-slice data is implemented, then operator intervention is reduced, but system complexity increases
Solution Approach 1:
The existing multi-slice imaging capability is repurposed to serve dual functions: primary cardiac imaging and secondary diaphragm motion detection. By utilizing the same hardware and data acquisition systems for both purposes, the system achieves automatic repositioning functionality without adding significant complexity or requiring dedicated separate systems.
Solution Approach 2:
The system merges the functions of cardiac imaging and diaphragm motion detection into a unified process. Re-acquired multi-slice data serves both to maintain cardiac image quality and to provide motion information for automatic pulse repositioning, consolidating multiple functions into a single integrated system approach that minimizes complexity.
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 enables precise and efficient repositioning of motion detection pulses and slice images, reducing operator intervention and improving image quality by accounting for subject movement during breathing cycles.
Implementation Method 1
Magnetic resonance imaging is an imaging method in which nuclear spins of a subject placed in a static magnetic field are magnetically excited with RF (Radio Frequency) pulses at the Larmor frequency and an image is generated from the magnetic resonance signals that are generated in accordance with the excitation.
Data Source
AI summary
A magnetic resonance imaging apparatus according to an embodiment includes a processor and a memory. The memory stores processor-executable instructions that cause the processor to perform an application region scan for acquiring data on an area covering a diaphragm in order to position an application region of a motion detection pulse and a multi-slice scan for acquiring first multi-slice data on an area covering a heart; and acquire a slice image of the heart that is positioned using the first multi-slice data, with application of the motion detection pulse. In acquiring the slice image, when breathing motion of a subject is continuously out of an allowable range for a given period, the processor corrects a position of the application region by calculation using the second multi-slice data acquired by performing the multi-slice scan again and a positional relationship obtained by the application region scan and the multi-slice scan.