MRI Image Processing Circuits for Real-Time Surgical Visualization
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Solution Overview
Problem
Current Deep Brain Stimulation (DBS) systems face challenges in achieving optimal clinical efficacy due to the imprecision in locating electrodes during surgical procedures, leading to reduced effectiveness in treating conditions like Parkinson's disease, as conventional methods rely heavily on pre-operative imaging and may result in less than optimal outcomes for up to 30% of patients.
Innovation Solution
An MRI-guided surgical system that provides real-time, patient-specific visualizations of anatomical structures and surgical tools, allowing for precise placement of electrodes by segmenting image data and using fiducial markers to guide the trajectory of surgical tools, thereby enhancing the accuracy and reliability of the procedure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pre-operative MRI and CT images are used for electrode placement, then the surgical procedure can be performed, but the precision of electrode localization is insufficient leading to reduced clinical efficacy
Solution Approach 1:
The system segments MRI image data to generate three-dimensional visualizations of anatomical structures, allowing precise identification of target locations and electrode trajectories. This segmentation enables detailed spatial mapping that improves electrode localization precision beyond conventional pre-operative imaging methods.
Solution Approach 2:
The system provides real-time visual feedback during the surgical procedure by continuously updating three-dimensional visualizations based on MRI image data. This feedback mechanism allows the surgical team to monitor electrode placement accuracy and make adjustments, ensuring optimal clinical efficacy.
2Productivity
If conventional DBS implantation methods are used, then the procedure can be completed, but the duration is long and efficacy is reduced for up to 30% of patients
Solution Approach 1:
The system performs preliminary three-dimensional visualization and trajectory planning before electrode insertion. By pre-defining the optimal surgical path and target locations using segmented MRI data, the system reduces intraoperative decision-making time and streamlines the implantation process, improving surgical efficiency.
Solution Approach 2:
Real-time visual feedback during the procedure allows for immediate verification of electrode position and trajectory accuracy. This continuous monitoring reduces the need for corrective procedures and ensures reliable clinical outcomes, addressing the 30% failure rate associated with conventional methods.
3Measurement precision
If real-time visualizations are generated using MRI image data and tool data, then the precision of surgical tool placement is improved, but the system complexity increases
Solution Approach 1:
The system integrates multiple functions into a unified platform: MRI image acquisition, three-dimensional visualization, surgical tool tracking, and real-time feedback. This multi-functional integration, while increasing capabilities, manages complexity through a cohesive architecture that handles diverse tasks within a single system framework.
Solution Approach 2:
The system introduces a computational modeling layer that acts as an intermediary between raw MRI data and surgical visualization. This intermediary layer processes and segments image data, generates three-dimensional representations, and correlates tool positions with anatomical structures, managing the complexity of real-time processing through modular computational steps.
Data Source
AI summary
Circuits and computer program products onboard and/or adapted to communicate with an scanner that electronically recognize predefined physical characteristics of the at least one tool to automatically segment image data provided by the scanner whereby the at least one tool constitutes a point of interface with the system. The circuits and computer program products are configured to provide a User Interface that defines workflow progression for an image guided surgical procedure and allows a user to select steps in the workflow, and generate multi-dimensional visualizations using the predefined data of the at least one tool and data from images of the patient in substantially real time during the surgical procedure.