VOA Generation System Using Fiber-Specific Analysis
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Solution Overview
Problem
Current systems for determining the volume of activation (VOA) in anatomical stimulation therapies, such as deep brain stimulation, face challenges in accurately predicting tissue activation due to the complexity of inhomogeneous and anisotropic fibers, leading to inefficient and time-consuming trial-and-error methods for selecting stimulation parameters.
Innovation Solution
A system and method that analyze shape parameters characterizing electrical attributes of neural elements on a fiber-by-fiber basis, using a look-up table to determine threshold stimulation parameters for each fiber, allowing for real-time estimation of VOA based on clinician-input parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If trial-and-error methods are used to select stimulation parameters, then clinicians can find working parameters through repeated testing, but the process becomes tedious, time-consuming, and expensive
Solution Approach 1:
The system performs preliminary computational analysis of the VOA for multiple parameter settings before actual stimulation begins. By pre-calculating which fibers would be activated by different parameter combinations using anatomical models and electrical properties, the system eliminates the need for time-consuming trial-and-error testing during patient treatment, while ensuring reliable therapy selection.
Solution Approach 2:
The system creates a computational model that copies and simulates the physical stimulation process. Instead of physically testing different electrode configurations and parameter settings on the patient, the system uses a virtual model of the patient's anatomy and electrical properties to predict outcomes, thereby avoiding the time loss associated with repeated physical trials.
2Measurement precision
If comprehensive computational models are used to analyze fiber-by-fiber activation, then prediction accuracy of VOA improves, but processing complexity increases
Solution Approach 1:
The system segments the continuous tissue volume into discrete fiber elements that can be individually analyzed. By dividing the complex anatomical structure into manageable fiber segments with specific orientation and electrical properties, the system achieves accurate fiber-by-fiber activation prediction while keeping the computational model tractable through structured organization of the analysis units.
Solution Approach 2:
The system changes the parameter representation from continuous spatial fields to discrete fiber-specific parameters including orientation angles, electrical conductivity values, and threshold activation levels. This parameter transformation enables precise prediction of which fibers will be activated by different electrode configurations while simplifying the computational approach through standardized parameter sets for each fiber element.
Data Source
AI summary
A system and method for generating an estimated volume of activation (VOA) corresponding to settings applied to a stimulation leadwire includes a processor performing the following: determining, for each of a plurality of neural elements, one or more respective parameters characterizing an electrical distribution along the neural element, looking up the one or more parameters for each of the neural elements in a look-up table (LUT), obtaining threshold values for each of the neural elements recorded in the LUT in association with the looked-up parameters, comparing, for each of the neural elements, a value of the leadwire settings to each of the respective threshold value, estimating based on the comparisons which of the neural elements would be activated by the settings, and generating a structure corresponding to a region including the neural elements estimated to be activated.