Registration Transform for 3D Surgical Navigation From Biplanar X-Ray
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Solution Overview
Problem
Existing medical imaging technologies, such as traditional radiographic images and fluoroscopy, are inadequate for real-time three-dimensional surgical navigation due to limitations in generating CT-quality images and aligning surgical instruments with patient anatomy, especially in minimally invasive procedures where the patient's anatomy is not exposed.
Innovation Solution
A system and method that combines optical and radiographic data to reconstruct 3D volumes from biplanar X-ray images using deep learning techniques, incorporating a registration transform to align surgical instrument coordinates with patient and volume coordinate systems, correcting non-linear distortions, and enabling precise tracking without requiring patient exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If fluoroscopy is used for real-time imaging, then real-time visual assistance is provided, but only two-dimensional views are obtained which are insufficient for three-dimensional surgical navigation
Solution Approach 1:
The system transforms two-dimensional fluoroscopic images into a three-dimensional volume representation by integrating multiple 2D images from different angles and using registration transforms to reconstruct 3D anatomical structures, enabling surgeons to visualize depth and spatial relationships while maintaining real-time imaging capability
Solution Approach 2:
The system combines optical tracking data with radiographic image data to create a unified three-dimensional surgical navigation system, merging information from multiple sources (fluoroscopy, optical cameras, registration transforms) to achieve comprehensive 3D visualization in real-time
2Measurement precision
If CT scanning is used for three-dimensional imaging, then CT-quality three-dimensional images are obtained, but the cost and time required are prohibitive for real-time surgical navigation
Solution Approach 1:
Instead of performing a complete CT scan of the entire patient anatomy, the system acquires and processes only the specific regions and angles needed for the surgical procedure, using selective fluoroscopic imaging combined with registration to achieve CT-quality images of the relevant anatomical structures in real-time
Solution Approach 2:
The system replaces the mechanical CT scanning process with a computational approach, using software-based reconstruction algorithms and registration transforms to generate three-dimensional images from two-dimensional fluoroscopic projections, eliminating the need for slow mechanical rotation and scanning
3Ease of operation
If visual position data alone is used for surgical navigation, then the system is simpler to operate, but it is limited to identifying incision locations and cannot navigate relative to unexposed anatomy
Solution Approach 1:
The system introduces radiographic images as an intermediary between the visual tracking system and the unexposed anatomy, using X-ray images to reveal hidden anatomical structures and combining them with optical tracking data to enable navigation relative to both exposed and unexposed anatomy while maintaining ease of operation
4Measurement precision
If calibration of camera and X-ray coordinate systems is performed, then accurate alignment is achieved, but the process becomes more complex and time-consuming
Solution Approach 1:
The system uses a universal coordinate system framework that can handle both camera and X-ray data within the same reference frame, allowing the same calibration infrastructure to serve multiple functions (optical tracking, radiographic imaging, and three-dimensional reconstruction) without requiring separate complex calibration procedures for each modality
Data Source
AI summary
A system and method combine optical and radiographic data to enhance imaging capabilities. Specifically, the system combines visually obtained patient pose position information and radiographic image information to facilitate calibrated surgical navigation. The process involves a data acquisition phase, a system calibration phase, a volume reconstruction phase, and a surgical navigation phase, all resulting in the alignment of instrument coordinates with the patient and reconstructed volume coordinates enabling tracking and navigation of surgical instruments within a reconstructed 3D volume of the patient anatomy, even if such anatomy is not exposed during a procedure.