Fiducial Tracking Imaging for 3D Surgical Structure Recognition
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Solution Overview
Problem
Surgical imaging systems often fail to recognize and convey critical anatomical structures and dimensions within a three-dimensional space, leading to incomplete visualization and uncertain decision-making during surgical procedures.
Innovation Solution
A surgical visualization system that incorporates multiple imaging devices and a controller to gather and supplement distorted images with undistorted views, using spectral and structured light to enhance visualization and provide real-time proximity data, enabling precise identification and avoidance of critical structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single imaging device is used to visualize the surgical site, then the device complexity is reduced, but the measurement precision and reliability of anatomical structure recognition deteriorate
Solution Approach 1:
The imaging system is divided into multiple independent imaging devices (first imaging device and second imaging device), each capturing specific aspects of the surgical site. The first device provides undistorted visualization while the second device captures additional perspectives, allowing segmented analysis of anatomical structures to improve overall recognition accuracy without requiring a single complex device.
Solution Approach 2:
Multiple imaging devices are merged into a unified surgical visualization system where images from both devices are processed and integrated. The controller combines the undistorted view from the first device with the additional perspective from the second device, merging their strengths to achieve superior anatomical structure recognition that neither device could achieve alone.
2Measurement precision
If multiple imaging devices are used to capture different perspectives, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The system transitions from two-dimensional images to three-dimensional visualization by combining multiple imaging perspectives. The controller processes images from different angles and integrates them to create a comprehensive three-dimensional understanding of the surgical site, enabling precise visualization of concealed structures and spatial relationships.
Solution Approach 2:
The controller acts as an intermediary that receives images from multiple imaging devices and processes them into a unified visualization. It mediates between the raw images and the final displayed output, reducing the complexity burden on individual devices by centralizing image processing and integration functions.
3Measurement precision
If real-time image processing is performed to correct distortion, then the measurement precision improves, but the loss of time increases
Solution Approach 1:
The first imaging device captures undistorted images in advance, providing a reference database of accurate anatomical structures. This preliminary capture of undistorted images allows the controller to quickly compare and correct distortion in real-time images without performing complex processing from scratch, reducing time loss while maintaining precision.
Solution Approach 2:
The system uses the undistorted image from the first device as a template or copy to correct the distorted image from the second device. By comparing the distorted real-time image with the known undistorted reference image, the controller can efficiently correct distortion through image registration and alignment algorithms, achieving high precision with minimal processing time.
Data Source
AI summary
In general, devices, systems, and methods for fiducial identification and tracking are provided.