3D Brain Patch Guide Using MRI Scan Matching
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Solution Overview
Problem
Existing methods for electrical brain stimulation and EEG brain wave inspection face challenges in accurately attaching patches due to the variability in brain structures and head shapes among individuals, making it difficult to deliver effective treatments.
Innovation Solution
A patch guide method using a combination of 3D scanning and MRI technology to create personalized models, allowing for precise location matching and simulation of electrical stimulus delivery, enabling accurate attachment of patches based on individual brain anatomy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a standardized patch attachment method is used, then the process is simple and quick, but the accuracy of patch placement varies due to individual differences in head shape and brain structure
Solution Approach 1:
The system performs preliminary actions by acquiring 3D scan data and MRI data before patch attachment, creating personalized head models and brain maps in advance. This allows the system to pre-calculate optimal patch locations based on individual anatomy, then guides the simple attachment process by displaying visual overlays showing exactly where to place patches, thus maintaining simplicity while achieving high precision through preparatory personalization
Solution Approach 2:
The system creates a digital copy of the patient's head anatomy through 3D scanning and MRI processing, generating a virtual model that can be manipulated and analyzed separately. This digital twin allows precise calculation of patch locations and visualization guidance without interfering with the simple physical attachment process, resolving the contradiction between operational simplicity and placement accuracy
2Measurement precision
If individualized 3D scanning and MRI matching is performed, then patch placement accuracy is improved, but the complexity of the system and process increases
Solution Approach 1:
The system employs a unified coordinate system that serves multiple functions: it coordinates the 3D scanner, MRI data, and patch placement guidance all within a single reference framework. This universal coordinate system allows different data sources and processing steps to integrate seamlessly, reducing overall system complexity while maintaining high precision through standardized spatial referencing across all components
Solution Approach 2:
The system introduces a computer as an intermediary that automatically processes and integrates the complex 3D scan data and MRI information. Rather than requiring manual coordination of multiple complex systems, the computer serves as a mediator that handles data fusion, coordinate transformation, and visualization generation, thereby managing system complexity while delivering precise patch placement guidance
3Measurement precision
If facial features are calculated and used for model matching, then the matching accuracy between scan model and MRI model is improved, but the processing time and computational load increase
Solution Approach 1:
The system extracts only the essential facial features needed for model matching from the complete 3D scan data, rather than processing all geometric information. By identifying and using only the critical landmark points and facial geometry required for alignment, the system achieves accurate model matching while significantly reducing computational load and processing time compared to analyzing the entire surface geometry
Data Source
AI summary
The present disclosure relates to a patch guide method, including at least: acquiring a matched model of a 3D scan model and a 3D brain MM model; capturing an image of the head of the object by using a depth camera; matching one location of the captured image and one location on the matched model; and determining a patch location on the head of the object, by using a 3D brain map. In the method, physical characteristics of areas included in the brain MRI image are acquired and used to generate the 3D brain map of the object. In the method, a target stimulus point, to which an electrical stimulus is to be applied in a brain of the object, is acquired and used in a simulation of a delivery process of the electrical stimulus to the target stimulus point from candidate stimulus positions, to determine the patch location.