Motion Compensation Algorithm Initialization for Medical Devices
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Solution Overview
Problem
Conventional motion compensation algorithms for medical devices within anatomical structures require manual initialization, which is inefficient and prone to errors due to the lack of automated means to determine if the device is stationary, especially during respiratory activity.
Innovation Solution
A system that automatically initializes the motion compensation algorithm by acquiring data on the medical device's movement from sensors or automated guidance systems, determining if the device is stationary, and initiating the algorithm based on predetermined criteria such as distance thresholds, time elapsed, and respiration artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual initialization is used for motion compensation algorithm, then the algorithm can be executed, but the process is inefficient and prone to errors
Solution Approach 1:
The system automatically determines whether the medical device is stationary and initializes the motion compensation algorithm without requiring manual user intervention. The processing apparatus autonomously monitors device position data, evaluates stationary criteria, and triggers algorithm execution, enabling the system to serve itself in the initialization process.
Solution Approach 2:
The system continuously monitors the medical device's position data and uses this feedback to determine whether the device has become stationary. Based on this real-time feedback, the system dynamically decides when to initialize the motion compensation algorithm, creating a closed-loop control system that adapts to current conditions.
2Reliability
If motion compensation algorithm is executed during device movement, then compensation can be applied, but the compensation accuracy deteriorates
Solution Approach 1:
The system performs preliminary monitoring of the medical device's position to determine when the device has become stationary before initializing the motion compensation algorithm. This preliminary assessment ensures that the algorithm is executed at the optimal moment when the device is stationary, thereby maximizing compensation accuracy without requiring continuous trial-and-error execution.
3Productivity
If automated determination of stationary state is implemented, then initialization efficiency is improved, but device complexity increases
Solution Approach 1:
The processing apparatus performs multiple functions: it monitors medical device position data, determines whether the device is stationary based on predefined criteria, and initializes the motion compensation algorithm. By consolidating these functions into a single multi-functional processing unit, the system achieves automation without proportionally increasing overall system complexity.
Solution Approach 2:
The system uses an intermediary processing apparatus that acts as a mediator between the medical device positioning system and the motion compensation algorithm. This intermediary component simplifies the overall architecture by centralizing the decision-making logic for algorithm initialization, rather than requiring direct complex interactions between multiple independent subsystems.
Data Source
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AI summary
A system 10 and method for automatically initializing or initiating a motion compensation algorithm is provided. The system 10 includes a processing apparatus configured to acquire data representing information relating to movement of a medical device 16, determine whether the medical device 16 is stationary based on the information represented by said data, and automatically initiate the execution of the motion compensation algorithm in response to a determination that the medical device 16 is stationary. In an exemplary embodiment, the system 10 further comprises the medical device 16. The method comprises acquiring data representing information relating to movement of a medical device 16. The method further comprises determining whether the medical device 16 is stationary based on the information represented by the acquired data. The method still further comprises automatically initiating the execution of the algorithm in response to a determination that the medical device 16 is stationary.