Markerless 3D Surgical Navigation for Real-Time Image Registration
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Solution Overview
Problem
Existing image registration systems struggle with high precision and real-time alignment of multiple modality image data, particularly in medical and surgical applications, often requiring markers and being sensitive to illumination, shadows, occlusion, and sensor noise, which complicates precise surgical navigation.
Innovation Solution
A system and method for real-time multiple modality image alignment using 3D image data without markers, employing 3D cameras and processing circuitry to register 3D images directly onto a subject, track instruments, and highlight targets, enabling sub-millimeter precision and efficient surgical navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional image registration systems use markers and manual processes to align images, then measurement precision can be achieved, but device complexity and ease of operation deteriorate due to additional components and procedures
Solution Approach 1:
The patent removes markers and manual alignment procedures from the surgical navigation system, extracting unnecessary components that added complexity. The system achieves precision through automated computer vision algorithms that process images of anatomical structures directly, eliminating the need for external markers and manual registration steps.
Solution Approach 2:
The system performs self-alignment by automatically detecting and registering anatomical structures in real-time during surgery. The computer vision system autonomously tracks bone structures and soft tissues without requiring external markers or manual intervention, enabling the system to service itself through automated image registration.
2Ease of operation
If real-time image alignment is implemented without markers, then ease of operation improves, but measurement precision may deteriorate due to challenges with illumination, shadows, occlusion, and sensor noise
Solution Approach 1:
The system continuously captures images during surgical procedures and provides real-time feedback by automatically registering anatomical structures to preoperative planning data. This closed-loop feedback mechanism maintains registration precision despite varying lighting conditions, shadows, occlusions, and sensor noise by continuously updating the spatial relationship between images and 3D models.
Solution Approach 2:
The patent introduces an intermediary computer vision processing layer that mediates between captured images and 3D anatomical models. This intermediary system processes images through algorithms that compensate for illumination variations, shadows, occlusions, and sensor noise, maintaining precise registration without direct contact with the challenging environmental factors.
3Productivity
If multiple modality image data is aligned in real-time, then productivity improves, but device complexity increases due to processing requirements
Solution Approach 1:
The patent segments the image processing workload by handling different image modalities (intraoperative images and preoperative planning data) separately before integrating them. The system processes and registers each modality independently using specialized algorithms, then combines the results, reducing the computational complexity of handling all data simultaneously while maintaining real-time productivity.
Data Source
AI summary
A method for registering a 3D medical image in relation to a frame of reference can include determining a relative location of a surgical instrument based on receiving, by one or more processors, tracking data of the surgical instrument. The method can include tracking, by the one or more processors, for target movement and adjusting the surgical instrument to align with a location of interest. The method can include delivering, by the one or more processors, procedure to the location of interest through the surgical instrument and receiving a threshold for the procedure and a parameter that is detected during the procedure. The method can include causing, by the one or more processors, the surgical instrument to terminate the procedure which is responsive to the parameter satisfying the threshold.