Ablation Zone Modeling for Electrode Placement and Tissue Heating
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Solution Overview
Problem
Conventional methods for placing electrodes during electrical treatment therapies, such as irreversible electroporation, are prone to human error and difficulty in predicting the treatment region, leading to potential thermal and electrical overexposure, especially in complex tissue environments with non-uniform conductivity changes due to electroporation.
Innovation Solution
A system and method using a treatment planning module to generate estimated heat and electric field distributions, incorporating tissue-specific conductivity parameters, allowing for graphical representation and optimization of electrode placement to prevent thermal and electrical damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional manual methods are used for electrode placement, then the procedure is simple to perform, but the treatment region prediction is inaccurate leading to thermal and electrical overexposure
Solution Approach 1:
The system performs preliminary modeling of heat and electric field distributions before actual treatment to predict the treatment region and optimize electrode placement, preventing thermal and electrical overexposure before it occurs
Solution Approach 2:
The system creates a computational model that replicates the physical treatment environment, using numerical models to simulate heat distribution and electric field patterns without requiring complex physical measurement devices during the actual procedure
2Measurement precision
If complex numerical models are used for heat distribution modeling, then the prediction accuracy improves, but the computational time increases
Solution Approach 1:
The system performs comprehensive numerical modeling and optimization calculations before the actual treatment procedure begins, allowing complex computations to be completed in advance when full computational resources are available without delaying the clinical procedure
Solution Approach 2:
The system uses adaptive modeling that adjusts computational complexity based on the specific treatment scenario, using simplified models when sufficient and more complex models only when necessary to achieve accurate predictions
3Manufacturing precision
If tissue-specific conductivity parameters are incorporated, then the treatment optimization improves, but the data requirements and system complexity increase
Solution Approach 1:
The system automatically acquires and processes tissue-specific conductivity parameters from available clinical data and imaging, eliminating the need for separate manual measurement procedures and reducing the burden on operators
Solution Approach 2:
The system uses imaging data and computational algorithms as intermediaries to derive tissue conductivity parameters indirectly from readily available clinical information, avoiding the need for direct complex measurements
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise prediction of treatment regions, avoiding thermal and electrical overexposure, and optimizing electrode placement for safe and effective electrical energy delivery in treatments like irreversible electroporation.
Implementation Method 1
modeling a heat distribution in the tissue based on the one or more parameters
Implementation Method 2
estimating the target ablation zone and displaying a graphical representation of the estimation in the display device based on the one or more parameters for the treatment protocol for irreversible electroporation and the one or more tissue-specific conductivity parameters
Data Source
AI summary
Systems and methods are provided for modeling and for providing a graphical representation of tissue heating and electric field distributions for medical treatment devices that apply electrical treatment energy through one or a plurality of electrodes. In embodiments, methods comprise: providing one or more parameters of a treatment protocol for delivering one or more electrical pulses to tissue through a plurality of electrodes; modeling electric and heat distribution in the tissue based on the parameters; and displaying a graphical representation of the modeled electric and heat distribution. In another embodiment, a treatment planning module is adapted to generate an estimated target ablation zone based on a combination of one or more parameters for an irreversible electroporation protocol and one or more tissue-specific conductivity parameters.