System and method for robotic bronchoscope navigation

Through adaptive navigation algorithms and update algorithms, the problem of inaccurate registration in bronchoscopic navigation is solved, and high-precision and low-cost navigation is achieved, which is suitable for early stage lung cancer diagnosis and treatment.

CN119679517APending Publication Date: 2025-03-25NOAH MEDICAL CORP
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Patent Information

Application Number
CN202510008932.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2020-10-13
Filing Date
2020-12-18
Publication Date
2025-03-25

AI Technical Summary

Technical Problem

The prior art registration in bronchoscopic navigation is inaccurate, which makes navigation difficult, time-consuming and costly, and difficult to adapt to local changes, affecting the accuracy of diagnosis and treatment.

Method used

Adaptive navigation algorithm is used to collect data through position sensors, and transform to align the coordinate system of the robot endoscopic instrument with the model coordinate system of the anatomical lumen network, and update registration in real time using an update algorithm, including fast interval recalculation and slow interval recalculation operations.

Benefits of technology

Improves registration accuracy and efficiency, reduces user interaction, can dynamically adapt to real-time conditions, and reduces the cost and complexity of diagnosis and treatment.

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Abstract

A method for automatic registration of a robotic endoscopic instrument is provided. The method includes: (a) generating a first transformation between an orientation of the robotic endoscopic instrument and an orientation of the position sensor based at least in part on a first sensor data set acquired using the position sensor; (b) generating a second transformation between a coordinate system of the robotic endoscopic instrument and a coordinate system of the model representative of the anatomical lumen network based at least in part on the first transformation and the second set of sensor data; and (c) updating the second transformation using an update algorithm based at least in part on the third sensor data set.
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