Intraoperative GUI Updating for Accurate Anatomical Navigation
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Solution Overview
Problem
Existing minimally invasive medical procedures lack effective systems and methods to enhance information provided to users via graphical user interfaces using intra-operative imaging, leading to inaccurate navigation and potential hindrances during medical procedures.
Innovation Solution
A system and method that utilizes pre-operative and intra-operative image data to register and update a graphical user interface, incorporating shape data from an instrument to accurately navigate and visualize targets and anatomical structures in real-time, employing techniques like point-based iterative closest point algorithms and deep learning for segmentation and registration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If pre-operative image data is used for navigation, then the navigation system is simple to operate, but the navigation accuracy deteriorates due to anatomical changes during surgery
Solution Approach 1:
The system dynamically updates the graphical user interface during surgery by integrating real-time intra-operative image data with pre-operative images. This allows the navigation system to adapt to anatomical changes as they occur, maintaining accuracy without complicating the user interface or operation flow.
2Measurement precision
If intra-operative imaging is integrated in real-time, then navigation accuracy is improved, but the device complexity increases
Solution Approach 1:
The system creates a graphical representation (copy) of the anatomical structures and instrument positions based on intra-operative image data. This virtual model is then integrated into the existing user interface, allowing accurate real-time navigation information to be displayed without adding complex physical hardware or interface elements.
Solution Approach 2:
The graphical user interface serves multiple functions: it displays pre-operative planning information, real-time instrument position, anatomical structure updates from intra-operative imaging, and navigation guidance. By making the interface multi-functional, the system avoids adding separate displays or devices for each function, thereby reducing overall system complexity.
3Measurement precision
If detailed intra-operative image processing is performed, then target visualization precision is improved, but the processing time increases
Solution Approach 1:
The system processes only the necessary portions of intra-operative image data required for navigation updates, rather than performing exhaustive processing on all image data. This selective processing approach maintains target visualization precision while minimizing processing time and avoiding unnecessary computational overhead.
Data Source
AI summary
A system includes one or more processors, a user display, and memory having computer readable instructions stored thereon. The computer readable instructions, when executed by the one or more processors, cause the system to obtain pre-operative image data of anatomical passages of a patient, wherein the pre-operative image data includes a target, display the pre-operative image data including the target in a graphical user interface on the user display, receive intra-operative image data from an imaging system, identify a portion of the intra-operative image data corresponding to an instrument disposed in the anatomical passages of the patient, receive a user selection of a portion of the intra-operative image data corresponding to the target, and update the display of the pre-operative image data including the target in the graphical user interface based on the intra-operative image data.