Adaptive Roadmap for Vascular Navigation
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Solution Overview
Problem
Current medical navigation systems, particularly in catheter interventional procedures, face challenges in providing clear navigation information due to complex vascular structures, which can result in cluttered and difficult-to-interpret roadmaps.
Innovation Solution
A system that generates a tailored roadmap by analyzing pre-navigation and live image data to identify and localize elements within vascular structures, pruning off non-selected branch portions and attenuating non-relevant vascular structures based on distance, thereby creating a simplified and focused representation for improved navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a complete vascular structure roadmap is displayed to provide comprehensive navigation information, then the information completeness is improved, but the roadmap becomes complex and difficult to interpret
Solution Approach 1:
The vascular structure is segmented into multiple sub-trees based on spatial relationships. Instead of displaying the complete vascular tree, the system divides it into manageable segments and selectively displays only the relevant sub-tree containing the element of interest, thereby maintaining information completeness for the current task while reducing overall complexity
Solution Approach 2:
The roadmap display quality varies locally across different regions. The sub-tree containing the element of interest is displayed with high detail and clarity, while other regions are either pruned or attenuated. This local quality differentiation ensures that critical navigation information is prominent without the distraction of unnecessary vascular structures
2Reliability
If all vascular branches are displayed to ensure complete anatomical representation, then the anatomical completeness is improved, but the interpretability deteriorates
Solution Approach 1:
The system extracts only the necessary portion of the vascular structure (the sub-tree containing the element of interest) from the complete anatomical representation. This extraction maintains the reliability of anatomical representation for the current intervention while significantly improving interpretability by removing irrelevant branches
Solution Approach 2:
The roadmap display is dynamic and adapts to the current intervention state. As the element moves or the intervention progresses, the system dynamically determines which sub-tree to display, pruning or attenuating different portions as needed. This dynamic adjustment maintains both anatomical accuracy for the current context and ease of interpretation
3Loss of information
If the complete vascular tree is shown to provide full navigation context, then the navigation context is improved, but the procedural efficiency deteriorates
Solution Approach 1:
The system applies partial action by displaying only the necessary portion of the vascular tree (the sub-tree containing the element of interest) rather than the complete structure. This provides sufficient navigation context for the current task while reducing processing time and improving procedural efficiency
Solution Approach 2:
The system performs preliminary determination of the relevant sub-tree based on the current element position and intervention context. By pre-identifying which portion of the vascular structure is relevant before display, the system avoids the need to process and present the complete vascular tree, thereby improving procedural efficiency while maintaining adequate navigation context
Data Source
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AI summary
The invention relates to adaptive roadmapping providing improved information to the user, comprising the following steps: providing pre-navigation image data representing at least a part of a vascular structure comprising a tree- like structure with a plurality of sub- trees; generating a vessel representation on the basis of pre-navigation image data; acquiring live image data of the object, which object comprises the vascular structure; wherein the vascular structure contains an element of interest; determining spatial relation of the pre-navigation image data and the live image data; analysing the live image data by identifying and localizing the element in the live image data; determining a sub- tree in which the element is positioned, wherein the determining is based on the localization of the element and on the spatial relation; and selecting a portion of the vascular structure based on the determined sub -tree; generating a combination of the live image data and an image of the selected portion of the vascular structure; and displaying the combination as a tailored roadmap. The element may be physical object, for example an interventional tool or device.