Image-Guided Neuromodulation Targeting for Organ Motion
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Solution Overview
Problem
Existing neuromodulation techniques face challenges in accurately targeting specific neural regions due to variations in patient anatomy and movement, leading to diffuse physiological effects and inconsistent treatment outcomes.
Innovation Solution
A neuromodulation delivery system that uses real-time imaging and a neural network to identify and adjust energy application based on the movement of the target region, allowing for precise delivery of neuromodulating energy to a specific area within the body.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If surgical placement of electrodes is used to deliver neuromodulating energy, then energy delivery capability is achieved, but positioning accuracy and ease of operation deteriorate
Solution Approach 1:
The patent replaces the mechanical surgical placement system with a non-invasive extracorporeal device that uses focused ultrasound energy delivery. The system employs image guidance (optical/electromagnetic field) to target specific neural regions without requiring surgical insertion of electrodes, thereby eliminating the complexity of surgical positioning while maintaining reliable energy delivery capability.
2Reliability
If electrodes are positioned at or near target nerves to trigger action potentials, then neuromodulation effect is achieved, but targeting precision deteriorates due to diffuse physiological effects
Solution Approach 1:
The patent applies local quality by using focused ultrasound technology to concentrate energy delivery at a specific focal point within the target neural region. This localized energy concentration enables precise targeting of specific nerve fibers or neural structures while minimizing diffusion to adjacent areas, achieving both reliable neuromodulation effect and high targeting precision through spatial focusing of the energy field.
Solution Approach 2:
The system incorporates real-time image guidance that dynamically tracks and adjusts the focal point of energy delivery based on the patient's anatomical variations and tissue movement. This dynamic adjustment capability allows the system to maintain precise targeting accuracy despite changes in tissue position, ensuring consistent neuromodulation effects while adapting to individual anatomical variations.
3Measurement precision
If accurate focusing of neuromodulating energy is achieved, then targeting precision is improved, but device complexity increases due to real-time image guidance requirements
Solution Approach 1:
The patent integrates multiple functions into a single unified system where the same extracorporeal device performs both imaging and energy delivery operations. The image guidance capability and focused ultrasound therapy are combined in one system, eliminating the need for separate surgical equipment and reducing overall device complexity while maintaining high targeting precision through coordinated operation of the integrated components.
4Ease of operation
If manual positioning of energy application device is used, then ease of operation is maintained, but reliability deteriorates due to anatomical variations and movements
Solution Approach 1:
The system incorporates real-time image guidance that provides continuous feedback on the position of target neural structures relative to the energy application device. This feedback mechanism automatically adjusts the focal point and energy delivery parameters to compensate for anatomical variations and tissue movements, ensuring consistent and reliable energy delivery while maintaining ease of operation through automated compensation rather than requiring manual repositioning.
Data Source
AI summary
Embodiments of the present disclosure relate to techniques for neuromodulation delivery. Based on image data acquired from the subject, control parameters controlling energy application of neuromodulating energy may be dynamically changed during the course of the delivery to maintain desired characteristics of the neuromodulating energy. For example, the beam of the neuromodulating energy may be dynamically adjusted to account for movement of an organ during breathing. In another embodiment, a desired region of interest is identified within the subject based on a trained neural network and the acquired image data.


