Stimulation Leadwire Electrode Visualization for DBS Therapy
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Solution Overview
Problem
Current systems for selecting stimulation parameters for anatomical regions, such as deep brain stimulation, are inefficient and time-consuming, relying on trial-and-error methods without visual aids or computational models, making it difficult to predict the volume of tissue influenced by stimulation and often resulting in suboptimal therapy.
Innovation Solution
A system and method that generate a graphical map representing stimulation leadwire electrodes with markings indicating significant electrodes for therapeutic or adverse effects, allowing clinicians to select optimal stimulation parameters based on recorded data and proximity to anatomical regions, facilitating the selection of electrodes and amplitude settings for effective tissue stimulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If trial-and-error methods are used for selecting stimulation parameters, then clinicians can eventually find effective settings, but the process becomes time-consuming and inefficient
Solution Approach 1:
The system performs preliminary computational modeling and volume of tissue activation predictions before actual stimulation, allowing clinicians to pre-evaluate different electrode configurations and parameter settings. This preliminary analysis provides a roadmap for effective parameter selection, reducing the need for extensive trial-and-error during clinical procedures.
Solution Approach 2:
The patent introduces computational models and visualization interfaces as intermediaries between the clinician and the complex electro生理 effects. These tools translate complex electrical field interactions into intuitive visual representations, enabling clinicians to make informed decisions without extensive trial-and-error testing.
2Measurement precision
If no visual aids or computational models are provided, then the system remains simple, but it becomes difficult to predict the volume of tissue influenced by stimulation
Solution Approach 1:
The system creates visual copies and representations of the electrical fields and tissue activation volumes through computational modeling. These visual models replicate the complex electro生理 interactions in an accessible format, allowing clinicians to predict and evaluate the volume of tissue influenced without directly measuring it during surgery.
Solution Approach 2:
The patent transforms three-dimensional electrical field distributions and tissue activation volumes into two-dimensional visual representations that can be displayed on screens. This dimensional transformation makes complex spatial information accessible and interpretable for clinical decision-making.
3Adaptability or versatility
If multiple electrodes are available for stimulation, then therapeutic options increase, but it becomes more difficult to identify the most effective electrodes
Solution Approach 1:
The system provides localized information about each electrode's potential effectiveness by displaying individualized volume of tissue activation predictions for each electrode contact. This allows clinicians to quickly identify which specific electrodes are most likely to be effective for the target pathology, rather than having to evaluate all electrodes through trial-and-error.
Data Source
AI summary
A system and method for graphically identifying candidate electrodes of a leadwire for stimulation of a patient anatomy includes a processor obtaining data corresponding to an anatomic region, identifying a spatial relationship between electrodes of the leadwire to the anatomic region, based on the identifying, selecting a subset of the electrodes of the leadwire, generating, based on the obtained data and the selected subset, a graphical output arrangement that includes a model of the leadwire including graphical representations of at least some of the electrodes and a graphical selection marking identifying the selected subset of the electrodes.