Intraoperative 3D Scan Reconstruction for Accurate Surgical Navigation
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Solution Overview
Problem
Current surgical imaging and navigation systems fail to provide robust procedure guidance for both hard and soft tissues, lacking accurate intraoperative imaging and navigation capabilities, especially in spine and orthopedic surgeries, and require improved integration of augmented reality and real-time imaging for enhanced surgical decision support.
Innovation Solution
A surgical imaging and navigation system utilizing 3D scanning, light sources, and computer vision algorithms, combined with image processing and tracking hardware, to facilitate accurate intraoperative guidance through 3D scanning and image registration, enabling real-time surgical navigation and augmented reality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 3D scanning and image registration are integrated into surgical navigation systems, then surgical accuracy and decision-making are improved, but device complexity increases
Solution Approach 1:
The patent combines multiple imaging modalities (2D imaging, 3D scanning, fluorescence imaging) and navigation functions into a single integrated surgical navigation system. The system merges preoperative imaging data with intraoperative 3D scans and 2D images through image registration algorithms, creating a unified navigation platform that improves surgical accuracy while managing complexity through integration rather than separate systems
Solution Approach 2:
The surgical navigation system is designed to perform multiple functions: 3D scanning of surgical sites, 2D image capture, fluorescence imaging, real-time image registration, and surgical guidance display. This multi-functional system replaces multiple separate devices, improving measurement precision across all imaging modalities while the universal platform approach manages overall system complexity
2Measurement precision
If real-time 3D scanning and image registration are performed during surgery, then surgical guidance accuracy is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing 3D scan data and 2D image data before they are needed for registration. Preoperative imaging data is acquired and processed in advance, and the image registration algorithms are pre-configured to enable rapid matching during surgery. This preliminary preparation reduces the time required for real-time navigation updates while maintaining high accuracy
Solution Approach 2:
The system enables continuous 3D scanning and real-time image registration throughout the surgical procedure. Rather than performing discrete, time-consuming registration operations, the system maintains continuous tracking and registration of surgical instruments and anatomical structures, providing uninterrupted navigation guidance that improves accuracy without significant time penalty
3Reliability
If multiple imaging modalities are integrated for comprehensive surgical guidance, then reliability of procedure guidance is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple imaging modalities including 2D intraoperative imaging, 3D surface scanning, and fluorescence imaging into a single integrated system. These diverse imaging technologies are combined with preoperative CT or MRI data through sophisticated image registration algorithms, creating a unified navigation platform that enhances reliability through multi-modal validation while managing complexity through integrated architecture
Solution Approach 2:
The system employs image registration algorithms and processing software as intermediaries that harmonize data from multiple imaging modalities. These intermediary processing layers translate and align data from different imaging sources (2D images, 3D scans, fluorescence signals) into a common coordinate system, enabling reliable multi-modal integration while shielding the user from the underlying complexity of coordinating multiple imaging systems
Data Source
AI summary
A system for executing a three-dimensional (3D) intraoperative scan of a patient is disclosed. A 3D scanner controller projects the object points included onto a first image plane and the object points onto a second image plane. The 3D scanner controller determines first epipolar lines associated with the first image plane and second epipolar lines associated with the second image plane based on an epipolar plane that triangulates the object points included in the first 2D intraoperative image to the object points included in the second 2D intraoperative image. Each epipolar lines provides a depth of each object as projected onto the first image plane and the second image plane. The 3D scanner controller converts the first 2D intraoperative image and the second 2D intraoperative image to the 3D intraoperative scan of the patient based on the depth of each object point provided by each corresponding epipolar line.