MRI Apparatus Image Quality Estimation Feedback
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Solution Overview
Problem
Less-experienced radiology technologists often conduct magnetic resonance imaging without considering image quality, leading to insufficient image quality and decreased examination throughput, as existing methods do not provide adequate information about image quality during the setting of imaging parameters.
Innovation Solution
A magnetic resonance imaging apparatus that includes sequence control circuitry and processing circuitry, which conducts first imaging, estimates image quality information based on subsequent imaging conditions, and presents this information superimposed on the magnetic resonance image, allowing operators to adjust settings accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If imaging parameters are set without image quality information, then the operation is simple and quick, but the image quality becomes insufficient
Solution Approach 1:
The system performs preliminary estimation of image quality information before the actual imaging is executed. The processing circuitry estimates image quality based on imaging conditions set for subsequent imaging, allowing operators to preview potential quality issues and adjust parameters accordingly before committing to the imaging sequence.
Solution Approach 2:
The system provides feedback by displaying estimated image quality information superimposed on the magnetic resonance image. This visual feedback mechanism allows operators to see the relationship between imaging parameters and expected image quality, enabling informed adjustments to improve image quality without requiring deep expertise.
2Productivity
If imaging is conducted without image quality consideration, then the examination process is fast, but repeated imaging is needed due to insufficient quality
Solution Approach 1:
The system performs preliminary estimation of image quality information before the actual imaging is executed. The processing circuitry estimates image quality based on imaging conditions set for subsequent imaging, allowing operators to preview potential quality issues and adjust parameters accordingly before committing to the imaging sequence.
Solution Approach 2:
The system provides feedback by displaying estimated image quality information superimposed on the magnetic resonance image. This visual feedback mechanism allows operators to see the relationship between imaging parameters and expected image quality, enabling informed adjustments to improve image quality without requiring deep expertise.
3Manufacturing precision
If detailed image quality information is provided, then image quality improves, but the device complexity increases
Solution Approach 1:
The system performs self-assessment by automatically estimating image quality information based on the set imaging conditions. The processing circuitry uses the imaging conditions and sequence information to generate quality estimates without requiring external evaluation, reducing the need for complex additional hardware while improving image quality assessment.
Data Source
AI summary
A magnetic resonance imaging apparatus according to an embodiment includes sequence control circuitry and processing circuitry. The sequence control circuitry conducts, on a subject, first imaging and second imaging that is subsequent to the first imaging. The processing circuitry estimates, based on a magnetic resonance image related to the first imaging and an imaging condition set with regard to the second imaging, information about an image quality in a case in which the second imaging is conducted. The processing circuitry presents, on a display, an estimation result, superimposing the estimation result on the magnetic resonance image. The processing circuitry receives a designation operation on the magnetic resonance image from an operator, and changes a setting of the imaging condition related to the second imaging based on the designation operation.


