Deep Brain Stimulation Implant Placement Planning System
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Solution Overview
Problem
Current procedures for implanting deep-brain stimulation devices in the brain lack efficient methods for accurately planning and executing placements that optimize therapy outcomes, particularly for conditions like epilepsy, due to variability in implant location and brain network specifics.
Innovation Solution
A system that utilizes image data analysis, including MRI and DTI, to identify anatomical landmarks and correlate implant placement with therapeutic outcomes, allowing for real-time data acquisition and processing to plan and execute precise implant positions based on previous outcomes, using surgical navigation systems for accurate placement and tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional implant placement procedures are used, then the procedure can be performed with standard equipment, but the precision and accuracy of implant placement is insufficient due to variability in implant location and brain network specifics
Solution Approach 1:
The system segments the implant placement process into distinct phases: pre-operative planning using MRI/DTI imaging to identify target coordinates, intra-operative navigation using tracked instruments with visual feedback, and post-operative verification. This segmentation allows each phase to be optimized independently, achieving high precision without overwhelming system complexity.
Solution Approach 2:
A computer-based surgical navigation system serves as an intermediary between the surgeon and the patient's brain anatomy. The system processes complex imaging data and provides simplified visual guidance through displays showing instrument position relative to target coordinates, enabling precise implant placement without requiring the surgeon to directly interpret complex medical images.
2Manufacturing precision
If image data analysis and surgical navigation systems are implemented, then implant placement precision is improved, but the device complexity and procedure time increase
Solution Approach 1:
Target coordinates and optimal implant placement sites are determined through pre-operative analysis of MRI and DTI images. The surgical navigation system pre-calculates trajectories and provides guidance during surgery, eliminating the need for intra-operative trial-and-error adjustments and reducing overall procedure time despite the added technological complexity.
Solution Approach 2:
The surgical navigation system provides real-time visual feedback showing the current position of surgical instruments relative to pre-determined target coordinates. This continuous feedback allows surgeons to make immediate adjustments, ensuring accurate implant placement while minimizing the time required for corrections and repositioning.
3Reliability
If standard implant placement procedures are used, then the procedure is simpler to perform, but therapeutic outcomes vary due to inability to correlate implant pose with patient responses
Solution Approach 1:
The system establishes a feedback loop where pre-operative imaging data identifies target coordinates based on individual patient anatomy and brain network characteristics. Post-operative imaging verifies actual implant position, and this data is fed back into the system to refine future placement predictions. This closed-loop approach ensures consistent therapeutic outcomes by accounting for individual anatomical variations while maintaining a manageable system through iterative improvement.
Data Source
AI summary
Disclosed is a system to plan and position an implant in a subject. The planned position may be based upon various features and structures identified in a group of subjects for a current subject. The implant may then be positioned in a selected position including a relative position and orientation of one or more electrodes on the implant which may be identified as an optimal position for the selected current subject.