Ablation Control Module for Tissue Treatment
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Solution Overview
Problem
Existing medical treatment systems face challenges in efficiently and accurately ablating large tissue areas, requiring multiple electrodes and lengthy procedures, which increases the risk and cost for patients.
Innovation Solution
A system and method that utilize a treatment control module to generate an estimated treatment region by considering the relationship between ablation size and the number of pulses applied, allowing for more efficient and accurate treatment of larger target areas with fewer electrodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a large number of electrodes are used to treat large target areas, then the treatment coverage is improved, but the electrode placement difficulty and procedure complexity increase
Solution Approach 1:
The patent segments the large target area into multiple smaller treatment zones, each covered by a subset of electrodes. The system automatically determines which electrodes to use and how to configure them for each zone, reducing the complexity of manual placement while maintaining comprehensive coverage.
Solution Approach 2:
The patent introduces computational planning as an additional dimension to the treatment process. The computer system calculates optimal electrode configurations and treatment parameters based on the target area characteristics, transforming the manual trial-and-error placement process into a precisely guided procedure.
2Area of stationary object
If the treatment procedure is extended to cover large areas, then the treatment completeness is improved, but the procedure time and patient risk increase
Solution Approach 1:
The patent performs preliminary computational planning before the actual treatment begins. The system pre-calculates the optimal treatment strategy, including electrode configuration, pulse parameters, and treatment sequence, allowing the actual treatment to proceed efficiently without delays for real-time decision-making.
Solution Approach 2:
The patent enables continuous treatment delivery by optimizing the sequence and timing of pulse application across multiple electrodes. The system coordinates electrode activation to maintain continuous effective treatment coverage while minimizing idle time between treatment phases.
3Manufacturing precision
If more electrodes are used to increase treatment precision, then the treatment accuracy is improved, but the device complexity and cost increase
Solution Approach 1:
The patent uses computational models and simulations to create virtual representations of the treatment scenario. The system tests and optimizes electrode configurations in silico before actual treatment, allowing precise treatment planning without requiring physical trial-and-error with multiple electrodes.
Solution Approach 2:
The patent achieves treatment precision by optimizing electrical parameters (voltage, pulse duration, frequency) and temporal sequencing rather than simply increasing the number of electrodes. The computer system calculates optimal parameter combinations to maximize treatment accuracy with minimal electrode usage.
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
The system enables safer and more cost-effective electrical ablation procedures by allowing larger ablation areas to be treated with fewer electrodes, reducing procedure time and minimizing damage to healthy tissue.
Implementation Method 1
Devices for delivering therapeutic energy such as an ablation device using irreversible electroporation (IRE) include a pulse generator and one or more electrodes coupled to the generator. The pulse generator delivers the therapeutic energy to a targeted tissue through the electrodes, thereby causing ablation of the tissue.
Data Source
AI summary
System for electrically ablating tissue of a patient through a plurality of electrodes includes a memory, a processor and a treatment control module stored in the memory and executable by the processor. The treatment control module generates an estimated treatment region based on the number of electrical pulses to be applied.


