Movement Correction in Magnetic Resonance Fingerprinting
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Solution Overview
Problem
Magnetic resonance fingerprinting examinations are vulnerable to movement-induced deviations in magnetic resonance signal shapes, leading to faulty assignments of tissue parameters due to the temporally successive acquisition of signal shapes, which increases the likelihood of errors as the examination duration lengthens.
Innovation Solution
A method for movement correction in magnetic resonance fingerprinting that involves acquiring movement data simultaneously with signal shapes, generating movement information, and using this information to correct the signal shapes, allowing for precise tissue parameter determination by categorizing movement information and adjusting signal comparisons accordingly, thereby minimizing errors in tissue class assignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If magnetic resonance fingerprinting examination is performed with temporally successive acquisition of signal shapes, then tissue parameters can be determined, but movement-induced deviations occur leading to faulty assignments
Solution Approach 1:
The system performs preliminary movement detection and correction by acquiring movement data (optical images, position information) before the magnetic resonance signal acquisition. This allows the system to pre-calculate correction factors and adjust the magnetic resonance signals accordingly, preventing movement-induced errors from affecting the tissue parameter determination accuracy.
Solution Approach 2:
The system implements a feedback mechanism where movement data is continuously monitored during the examination, and correction information is fed back to adjust the magnetic resonance signal processing in real-time. This closed-loop approach ensures that tissue parameter assignments remain accurate despite patient movement during the temporally successive acquisition process.
2Measurement precision
If examination duration is extended to improve tissue parameter determination, then more signal shapes can be acquired, but likelihood of movement errors increases
Solution Approach 1:
The system identifies and skips or discards magnetic resonance signals that are contaminated by movement artifacts. By using movement detection data to flag problematic time points, the system can rapidly exclude these corrupted signals from the tissue parameter determination process, maintaining accuracy without requiring excessively long examination times to compensate for lost data.
3Measurement precision
If movement detection and correction processes are added, then tissue parameter accuracy improves, but device complexity increases
Solution Approach 1:
The system introduces an intermediary movement detection component (optical camera, position sensors) that operates independently from the magnetic resonance scanner. This separate subsystem captures movement data that is then integrated with the magnetic resonance signals during processing, adding functionality without significantly complicating the core MRI hardware architecture.
Data Source
AI summary
In a method and apparatus for movement correction for a magnetic resonance fingerprinting examination on an object under examination, a magnetic resonance signal shape of a region of the object is acquired using the magnetic resonance fingerprinting method, movement data for at least one sub-region of the region are detected movement information is generated from the acquired movement data, the acquired magnetic resonance signal shape is corrected with reference to the generated movement information, a signal comparison of the corrected magnetic resonance signal shape is made with multiple database signal shapes stored in a database, with a database value of at least one tissue parameter being assigned to each of the database signal shapes. A value of the at least one tissue parameter is assigned to the corrected signal shape as a result of the signal comparison.