DBS Stimulation Volume Overlap Quantification
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Solution Overview
Problem
Current deep brain stimulation (DBS) technologies face challenges in predicting the volume of tissue activated due to the complex, anisotropic characteristics of the 3D tissue medium near the electrode, leading to undesirable side effects and limited understanding of neural responses.
Innovation Solution
A system and method that quantify and display the overlap between estimated and target volumes of tissue activation, using graphical user interfaces to visualize and adjust stimulation parameters, calculating metrics such as the Jaccard index and Rand index to optimize the overlap and minimize side effects, and employing ROC graphs and mutual information to select optimal parameter settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional DBS stimulation is applied without precise volume control, then therapeutic effect is achieved, but side effects occur due to activation of non-target tissue
Solution Approach 1:
The system performs preliminary simulation and prediction of the volume of tissue activated (VTA) before actual stimulation. By calculating and visualizing the estimated VOA and comparing it with the target volume in advance, the system allows optimization of stimulation parameters to achieve desired therapeutic effect while avoiding activation of non-target structures, thereby preventing side effects before they occur
Solution Approach 2:
The system provides visual feedback through graphical user interfaces that display the overlap between estimated VOA and target volume using metrics such as Jaccard index and Rand index. This feedback mechanism allows clinicians to adjust stimulation parameters iteratively to optimize the match between activated tissue and target volume, improving therapeutic efficacy while minimizing activation of surrounding non-target tissue
2Volume of moving object
If stimulation parameters are increased to expand the volume of tissue activated, then therapeutic coverage is improved, but overlap with non-target structures increases causing side effects
Solution Approach 1:
The system enables adjustment of multiple stimulation parameters (amplitude, pulse width, frequency, electrode configuration) to optimize the volume and shape of the activated tissue. By changing these parameters, the system can fine-tune the VOA to match the target volume precisely, achieving adequate therapeutic coverage without excessive activation of surrounding non-target structures that would cause side effects
Solution Approach 2:
The system provides spatially selective stimulation by optimizing the VOA to concentrate activation within the target volume while minimizing activation of surrounding tissues. The graphical interface allows visualization of local overlap characteristics, enabling clinicians to achieve homogeneous activation within the target region while avoiding harmful activation in adjacent non-target structures
3Object-affected harmful factors
If the stimulation target volume is precisely defined, then side effect avoidance is improved, but the complexity of parameter optimization increases
Solution Approach 1:
The system introduces automated computational tools as intermediaries to calculate and visualize the overlap between estimated VOA and target volume. By using automated metrics (Jaccard index, Rand index) and graphical displays, the system simplifies the complex task of parameter optimization, making it easier for clinicians to achieve precise target coverage while avoiding side effects without being overwhelmed by the complexity of multiple stimulation parameters
Solution Approach 2:
The system replaces manual trial-and-error parameter adjustment with automated computational modeling and visualization. By using computer-based calculations of VOA and automated generation of overlap metrics, the system substitutes complex manual optimization processes with automated computational tools, reducing the perceived complexity for clinicians while maintaining precise control over target coverage and side effect avoidance
Data Source
Figure 1(a)~1(b)
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AI summary
A method and system include a processor that outputs a characterization of a correspondence between a volume of estimated tissue activation and a target and/or side effect stimulation volume, and/or that provides controls by which to modify thresholds and/or amounts according to which the volume of estimated activation is to correspond to the target volume.