Robotic Endoscopic Pose Estimation Using Fluoroscopic Fiducial Markers
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Solution Overview
Problem
Current lung cancer diagnosis and treatment processes are inconsistent, leading to delayed diagnosis and high costs due to variability in techniques and clinical protocols, making it challenging to accurately navigate medical instruments to target tissues within the lungs.
Innovation Solution
A robotic endoscopic navigation system that uses fluoroscopic imaging and 3D pose estimation to accurately localize and navigate medical instruments within the surgical environment, employing fiducial markers and image-guided techniques to ensure precise targeting of lesions in the lungs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fluoroscopic imaging and pose estimation are used to navigate medical instruments, then measurement precision and localization accuracy are improved, but device complexity increases
Solution Approach 1:
The patent introduces fluoroscopic imaging as an intermediary tool to capture images of the patient's anatomy and medical instruments. These images serve as a mediator between the physical surgical environment and the navigation system, enabling precise localization without requiring direct complex sensing on the instruments themselves. The pose estimation algorithm then processes these intermediary images to derive position and orientation information.
Solution Approach 2:
The patent replaces complex mechanical tracking systems with image-based fluoroscopic navigation. Instead of using mechanical sensors, electromagnetic trackers, or complex robotic positioning systems, the solution substitutes a fluoroscopic imaging system that captures visual information and uses computational pose estimation to determine instrument locations, thereby reducing mechanical complexity while maintaining or improving measurement precision.
2Reliability
If standardized navigation protocols are implemented, then reliability and diagnostic consistency are improved, but ease of operation decreases
Solution Approach 1:
The patent implements preliminary action by pre-processing fluoroscopic images to automatically detect and track medical instruments and anatomical landmarks before navigation decisions are made. The system performs preliminary pose estimation and localization calculations in advance, creating a ready-to-use navigation framework that guides subsequent surgical steps. This preliminary processing establishes standardized reference frames and instrument positions that improve diagnostic consistency while automating complex procedural steps.
Solution Approach 2:
The patent incorporates feedback mechanisms where fluoroscopic images continuously provide real-time information about instrument positions and anatomical structures. The navigation system processes these feedback images to update pose estimates and guide instrument movement, creating a closed-loop control system. This continuous feedback ensures standardized navigation protocols are maintained while providing real-time guidance that simplifies operator decision-making and improves reliability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system enables standardized, efficient, and cost-effective early lung cancer diagnosis and treatment by providing real-time, precise localization of lesions and instruments, reducing procedural complications and costs.
Implementation Method 1
acquiring one or more fluoroscopic images using a fluoroscopic imager
Data Source
AI summary
A method is provided for method for navigating a robotic endoscopic apparatus comprising: (a) providing a three-dimensional (3D) fiducial marker to a surgical field; (b) acquiring fluoroscopic image using a fluoroscopic imager wherein the fluoroscopic image contains the 3D fiducial marker, a body part and a portion of the robotic endoscopic apparatus placed inside of the body part; and (c) estimating a pose of the fluoroscopic imager based on the fluoroscopic image.


