Vascular Dataset Update for Instrument Navigation Accuracy
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Solution Overview
Problem
During interventional procedures in the vascular system, existing overlay image methods fail to accurately reflect the deformation caused by instruments, leading to inaccuracies and misregistration, which can result in the instrument appearing outside the vessel, causing uncertainties in navigation.
Innovation Solution
A method that checks if the instrument lies outside the vessel using positional data, determines an adjusted centerline to mold the instrument to the vessel boundary, updates the vascular dataset, and generates a new overlay image to accurately reflect the instrument's position within the vessel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a preoperative vascular dataset is used to generate overlay images, then anatomical information is provided for orientation, but the deformation caused by instruments is not reflected, leading to misregistration
Solution Approach 1:
The system dynamically updates the vascular dataset during the interventional procedure by detecting instrument positions and recalculating centerlines and boundaries. This transforms the static preoperative dataset into a dynamic representation that adapts to real-time anatomical changes, resolving the contradiction between preserving anatomical information and maintaining registration accuracy under deformation.
Solution Approach 2:
The system employs feedback mechanisms by continuously monitoring instrument positions via X-ray images, comparing them against the vascular dataset, and using this information to iteratively update the centerline and boundary calculations. This closed-loop feedback ensures the overlay remains accurately registered despite vessel deformation from instrument insertion.
2Ease of operation
If the instrument is inserted into the vessel, then the intervention can be performed, but the vessel anatomy is deformed, causing inaccuracy in the overlay image
Solution Approach 1:
The system performs preliminary calculations of the adjusted centerline and boundary before generating the updated overlay image. By pre-computing the deformation model based on instrument position, the system prepares the corrected anatomical representation in advance, ensuring accuracy is maintained without interrupting the surgical workflow.
Solution Approach 2:
The system changes the parameters of the vascular dataset by recalculating the centerline position and vessel boundary based on the instrument's presence. This involves adjusting geometric parameters to reflect the deformed state, thereby maintaining overlay accuracy despite the physical deformation caused by instrument insertion.
3Measurement precision
If the instrument position is monitored using X-ray images, then navigation is enabled, but the vascular system is not clearly visible, requiring contrast agent
Solution Approach 1:
The system creates a digital copy of the vascular anatomy from preoperative imaging data and uses this virtual model for navigation. By overlaying the instrument position on this digital twin rather than relying on real-time contrast-enhanced imaging, the system eliminates or reduces the need for contrast agent while maintaining precise navigation capability.
Data Source
AI summary
A method is provided for image monitoring during an interventional procedure by at least one instrument in a patient's vascular system having vessels. The method includes checking, using positional data of the instrument, whether at least a part of the instrument lies outside of the vessels described by the vascular dataset. If at least a part of the instrument lies outside of the vessel through which the instrument is guided and which is described by the vascular dataset, the method further includes determining an adjusted centerline for the vessel in such a way that the part of the instrument molds itself to fit the boundary of the vessel described by the adjusted centerline, updating the vascular dataset on the basis of the adjusted centerline, and determining the overlay image from the updated vascular dataset.