Acoustic Wave Stimulation Parameter Determination
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Solution Overview
Problem
Current methods for cell stimulation using acoustic energy, such as ultrasound, are complex, expensive, and limited in design, making them unsuitable for widespread public use or applications beyond severe medical cases, requiring specialized facilities and expert configuration.
Innovation Solution
A method for determining and validating subject-specific treatment parameters for acoustic wave stimulation using a wearable device that measures geometric properties and tissue characteristics, allowing for the selection of optimal treatment parameters through a library-based approach, enabling non-expert use and broader application ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If complex simulations and measurements are used to determine treatment parameters, then treatment precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing treatment parameters for various head geometries in a database before actual use. During treatment, the system only needs to measure the patient's head geometry and retrieve the pre-computed parameters, avoiding complex real-time simulations. This resolves the contradiction by maintaining high precision through pre-computed accurate parameters while reducing device complexity during operation.
Solution Approach 2:
The patent uses copying by creating a simplified digital model of the patient's head geometry and using this copy to determine treatment parameters instead of performing complex measurements on the actual patient during treatment. The digital model serves as a surrogate that captures essential geometric information while enabling parameter determination through simpler computational methods.
2Reliability
If MRI systems are used to observe and adjust focus point, then treatment reliability is improved, but ease of operation deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-calculating the focus point position and treatment parameters based on the patient's head geometry before the actual treatment session. The system determines the optimal focus location in advance using the digital model, so during treatment no real-time MRI observation or expert adjustment is needed. This maintains reliability through accurate pre-computation while dramatically improving ease of operation.
Solution Approach 2:
The system applies self-service by automatically determining treatment parameters and focus point position based on measured head geometry without requiring expert intervention or complex real-time monitoring equipment. The automated parameter selection based on pre-computed databases enables non-experts to operate the system reliably.
3Manufacturing precision
If specialized facilities and expert configuration are required, then treatment precision is improved, but adaptability deteriorates
Solution Approach 1:
The patent uses copying by creating and storing treatment parameter sets for multiple different head geometries and treatment scenarios in a database. This allows the system to adapt to various applications (different body parts, different treatment goals) by selecting from pre-computed parameter sets corresponding to the measured geometry, maintaining precision without requiring specialized facilities or expert knowledge for each new application.
Solution Approach 2:
The patent applies universality by designing a system that can handle multiple treatment applications and body parts through a single unified approach: measure geometry, query database for matching parameters, apply treatment. The pre-computed database covers various scenarios, enabling the same device to be used for different medical and non-medical applications without requiring specialized configurations or expert intervention.
4Measurement precision
If complex measurement and simulation systems are used, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent applies segmentation by dividing the treatment process into distinct stages: (1) simple geometric measurement of the patient's head, (2) automated database query to match geometry with pre-computed parameters, and (3) treatment delivery. This segmentation allows the system to use precise measurement methods for geometry capture while automating the complex parameter determination, making the overall process easy for non-experts to operate.
Solution Approach 2:
The system uses copying by creating a digital representation of the patient's head geometry from simple measurements and using this digital copy to automatically retrieve treatment parameters from the database. This eliminates the need for users to perform complex simulations or interpret complex measurement data, maintaining measurement precision while improving ease of operation through automated parameter selection.
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 the determination and validation of personalized treatment parameters for acoustic wave stimulation, facilitating wider public access and broader applications, including non-medical cases, without the need for specialized facilities or expert intervention.
Implementation Method 1
cell stimulation by mechanical energy, in particular by acoustic energy, for example stimulation by ultrasound, such as focused ultrasound (FUS)
Data Source
AI summary
A method for cell stimulation by mechanical energy as well as a method for determining a subject specific set of treatment parameters for acoustic wave stimulation and a method for validating a set of treatment parameters for acoustic wave stimulation. The method for determining a subject specific set of treatment parameters includes generating subject specific data, which includes measuring a geometric property of a body portion, and determining a target field distribution in the body portion. The method for validating a set of treatment parameters for acoustic wave stimulation includes determining a target field distribution of an acoustic field in a body portion, receiving a related set of treatment parameters for at least one transducer, generating a subject specific 3D model of the body portion, and determining a difference between the target field distribution and a field distribution determined in the subject specific 3D model.


