MRI Image Parameter Adjustment via Catheter Tracking
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Solution Overview
Problem
Current MRI systems require manual adjustments of image acquisition parameters, which can be time-consuming and inefficient, especially when tracking devices like catheters within the body, as they do not automatically adapt based on motion feedback such as speed, direction, and location relative to anatomy.
Innovation Solution
The system automatically adjusts image acquisition parameters, such as field of view and resolution, in real-time using device tracking information, allowing clinicians to control imaging through catheter motion feedback, eliminating the need for manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual adjustment of image acquisition parameters is used, then clinicians can control imaging parameters, but the process becomes time-consuming and inefficient
Solution Approach 1:
The system automatically adjusts image acquisition parameters based on real-time catheter tracking data without requiring manual clinician input. The system self-regulates field of view, resolution, and other parameters by monitoring catheter position, speed, and direction, thereby eliminating manual adjustment while maintaining imaging quality and efficiency
Solution Approach 2:
The system implements a feedback loop where real-time catheter tracking information (position, speed, direction) is continuously monitored and used to dynamically adjust image acquisition parameters. This closed-loop control enables automatic adaptation of imaging parameters to match clinical needs without manual intervention
2Adaptability or versatility
If automatic parameter adjustment based on catheter position is implemented, then manual adjustment is eliminated, but the system does not adapt to catheter motion characteristics
Solution Approach 1:
The system transitions from static parameter settings to dynamic parameter adjustment by continuously adapting image acquisition parameters based on real-time catheter motion characteristics. Field of view, resolution, and other parameters are dynamically modified according to catheter position, speed, and direction changes, enabling the system to adapt to varying clinical scenarios
Solution Approach 2:
The system segments the parameter adjustment process into distinct components based on catheter motion characteristics: position-based field of view adjustment, speed-based temporal resolution modification, and direction-based orientation changes. This segmentation allows complex adaptive behavior to be achieved through coordinated adjustment of multiple independent parameter sets
3Measurement precision
If real-time parameter adjustment is implemented, then imaging aligns with clinician intentions, but processing requirements increase
Solution Approach 1:
The system applies partial adjustment by modifying only those image acquisition parameters that are most critical to clinical needs based on catheter motion, rather than adjusting all parameters simultaneously. This selective approach maintains imaging accuracy while reducing overall processing requirements
Data Source
AI summary
A system for automatically adapting image acquisition parameters based on imaging and/or device tracking feedback is provided. An example system includes a subsystem for acquiring images (e.g., MR) of an object and tracking data for a device (e.g. catheter) inserted into the object and controllably moveable within the object. The system also includes an image processor for processing the images and a device tracking logic for computing device parameters (e.g., speed, direction of travel, rate of speed change, position, position relative to a landmark, device orientation). Based on the images and device parameter computations, a parameter control and adjustment logic can automatically update one or more image acquisition parameters that control the image acquisition subsystem.