Surgical Scene Registration Using Semantic Anatomy and Procedure Phase
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Solution Overview
Problem
The process of registering various visual representations of a surgical space generated by different imaging modalities is not straightforward, leading to challenges in synthesizing and providing intuitive visualizations during surgical procedures.
Innovation Solution
An image management system that accesses semantic information about anatomical objects to register datasets of visual representations, using scene segmentation, procedure phase, and force sensing data to align and update registrations based on reliable tissue features and instrument interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple imaging modalities are used to capture visual representations of the surgical site, then the quantity and diversity of visual information is improved, but the complexity of registering and synthesizing these representations worsens
Solution Approach 1:
The patent segments the surgical scene into distinct anatomical structures and tissue types using scene segmentation techniques. By dividing the complex registration problem into smaller segments (different tissues, structures, and imaging modalities), the system can process and register each segment independently, reducing overall complexity while maintaining comprehensive visual information from multiple modalities.
Solution Approach 2:
The patent introduces an image management system as an intermediary that automatically performs registration between different visual representations. This intermediary system uses semantic information about anatomical objects to facilitate the matching and alignment of datasets from different imaging modalities, reducing the complexity burden on surgeons while preserving the benefits of multiple imaging sources.
2Measurement precision
If manual registration of visual representations is performed, then the precision of alignment can be improved, but the time required for the procedure worsens
Solution Approach 1:
The patent implements self-service registration where the system automatically performs the registration task without requiring manual surgeon intervention. The image management system uses semantic information and automated algorithms to align visual representations, maintaining high alignment precision while eliminating the time loss associated with manual registration procedures.
Solution Approach 2:
The patent performs preliminary registration actions by pre-processing images to extract semantic information about anatomical objects before the actual registration is needed. By preparing and organizing visual data in advance with embedded semantic markers, the system reduces the time required during the surgical procedure while maintaining precision through pre-computed alignment data.
3Measurement precision
If comprehensive scene segmentation is performed to identify reliable tissues, then the accuracy of registration is improved, but the computational processing time worsens
Solution Approach 1:
The patent applies partial scene segmentation by focusing only on the most reliable and relevant tissues for registration purposes, rather than performing exhaustive segmentation of all anatomical structures. By selectively processing only the critical tissue types that provide the most reliable registration features, the system achieves high registration accuracy while minimizing unnecessary computational overhead and processing time.
Data Source
AI summary
An exemplary image management system accesses semantic information regarding an anatomical object in a surgical scene, wherein the semantic information includes a current phase of a procedure performed on the anatomical object and registers, based at least in part on the semantic information regarding the anatomical object, an image of the surgical scene with a model of the anatomical object.