MRI RF Coil Selection via Optical Imaging
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Solution Overview
Problem
In MRI apparatuses, the selection of optimal RF coils for imaging is often subjective and based on user experience, leading to suboptimal coil selection and potentially lower-quality MR images.
Innovation Solution
An MRI apparatus with processing circuitry that acquires optical images of the examination portion and selects the appropriate RF coil from a plurality of available coils based on the examination portion information, ensuring the selected coil's sensitivity and physical accommodation regions match the imaging requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users select RF coils based on their own skills and experience, then the selection process is simple and requires no additional equipment, but the selection accuracy and image quality may be suboptimal
Solution Approach 1:
An optical camera is introduced as an intermediary device to capture images of the examination portion. The camera serves as a mediator between the physical object and the coil selection system, providing objective visual data that enables accurate coil selection without requiring user expertise. The captured images are processed to automatically determine the examination portion, eliminating the need for manual user input.
Solution Approach 2:
The manual mechanical process of user-based coil selection is replaced with an automated optical and computational system. Instead of relying on human expertise to identify the examination portion, the system uses optical imaging and image processing algorithms to automatically detect and determine the examination portion, thereby improving selection accuracy while reducing dependency on user skill level.
2Adaptability or versatility
If multiple RF coils are available for the same examination portion, then the versatility and adaptability of the system is improved, but the difficulty of selecting the optimal coil increases
Solution Approach 1:
The system performs self-service by automatically determining the examination portion through optical imaging and image processing, without requiring user intervention or expertise. The automated system independently analyzes the captured images, identifies the examination portion, and selects the appropriate RF coil, thereby maintaining versatility while eliminating the difficulty of manual optimal coil identification.
Solution Approach 2:
The system incorporates feedback mechanisms where the optical camera continuously captures images of the examination portion, and the image processing system analyzes these images to confirm or adjust the coil selection. This feedback loop ensures that the optimal coil is selected by objectively matching the visual characteristics of the examination portion with the appropriate RF coil properties.
3Reliability
If automatic coil selection based on optical images is implemented, then the image quality and selection consistency are improved, but the device complexity and cost increase
Solution Approach 1:
The optical camera is designed to serve multiple functions: capturing images of the examination portion, providing data for automated coil selection, and potentially guiding the imaging process. By making the camera multi-functional, the system achieves reliable and consistent image quality while minimizing the increase in device complexity, as a single component performs multiple critical roles.
Data Source
AI summary
In one embodiment, An MRI apparatus comprising processing circuitry configured to: acquire an optical image of an object placed on a table of a bed; acquire information on an examination portion of the object; and select a specific RF coil to be used for imaging the examination portion of the object from a plurality of available RF coils based on the optical image and information on the plurality of available RF coils specified from the information on the examination portion.