MRI Subject Table Positioning With Passive Magnetic Field Sensing
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Solution Overview
Problem
Existing MRI systems face challenges in accurately positioning a manually driven subject table relative to the magnetic field, leading to potential misalignment and inefficiencies in patient positioning and imaging processes.
Innovation Solution
A manually driven subject table equipped with a passive sensor that detects the strength and direction of a magnetic field in real-time, coupled with a controller that augments user inputs to actuators based on this data, ensuring precise positioning and orientation relative to the magnetic field.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a manually driven subject table is used in MRI systems, then ease of operation is improved, but positioning accuracy deteriorates due to inability to compensate for magnetic field variations
Solution Approach 1:
The system incorporates sensors that detect the subject table's position and orientation relative to the magnetic field, providing real-time feedback to a controller. The controller processes this feedback and adjusts actuator commands to compensate for magnetic field variations, thereby maintaining positioning accuracy while preserving manual operability
Solution Approach 2:
The patent replaces purely mechanical manual control with a hybrid system that integrates electronic sensors, controllers, and actuators. This substitution introduces intelligent control mechanisms that can detect and respond to magnetic field conditions, improving positioning precision without eliminating manual operation
2Measurement precision
If magnetic field sensing and augmentation systems are added to subject tables, then positioning accuracy is improved, but device complexity increases
Solution Approach 1:
The controller serves multiple functions: it processes sensor data, determines subject table position and orientation, generates augmentation commands, and communicates with the user interface. By consolidating these functions into a single multi-functional controller, the system achieves high positioning accuracy while minimizing the number of separate components
Solution Approach 2:
The patent introduces a field map as an intermediary data structure that pre-stores the relationship between magnetic field characteristics and subject table positions. This field map serves as a lookup reference that simplifies real-time position determination, reducing computational complexity while maintaining positioning precision
3Speed
If real-time magnetic field detection is implemented, then positioning speed is improved, but energy consumption increases due to continuous sensing and processing
Solution Approach 1:
Instead of continuous sensing and processing, the system implements periodic updates at key moments: when the subject table is moved, when position changes are detected, or at predetermined intervals. This periodic operation maintains positioning speed for critical adjustments while reducing overall energy consumption during stable periods
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
Enhances the accuracy and efficiency of subject table positioning, facilitating optimal alignment with magnetic resonance imaging systems, thereby improving patient positioning and imaging quality.
Implementation Method 1
a passive sensor configured to detect in real-time a strength or a direction of a magnetic field
Data Source
AI summary
Various methods and systems are provided for adjusting behavior of a manually driven subject table based on a strength and/or a direction of a magnetic field as detected by a passive sensor of the manually driven subject table. In some embodiments, a medical imaging system comprises a manually driven subject table having a passive sensor configured to detect in real-time a strength or a direction of a magnetic field, and a controller communicably coupled to the passive sensor and configured with instructions stored on non-transitory memory that, when executed, cause the controller to augment transmission of a user input to one or more actuators of the manually driven subject table based on the strength or the direction of the magnetic field as detected by the passive sensor.


