Endovascular Tool Guidance via 3D Model Deformation
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Solution Overview
Problem
Current image-guided endovascular interventions face challenges in accurately guiding endovascular tools due to deformations of vascular structures caused by tools like stents and catheters, which are difficult to account for using conventional two-dimensional imaging, especially with non-motorized C-arms that require manual recalibration and lack automated updating.
Innovation Solution
A method that involves obtaining preoperative 3D images, estimating rigid and elastic transformations to account for tool-induced deformations, and combining these transformations to generate a deformed 3D model for superposition on perioperative 2D images, enhancing precision and automation in endovascular tool guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional two-dimensional imaging is used during endovascular interventions, then the procedure can be performed with standard equipment, but the accuracy of guiding endovascular tools is reduced due to inability to account for vascular deformations
Solution Approach 1:
The patent transitions from two-dimensional fluoroscopic imaging to three-dimensional volumetric imaging using CT or MRI scans. This dimensional change enables the system to capture and process vascular structures in 3D space, allowing accurate representation and manipulation of vascular deformations while maintaining guidance precision without requiring complex motorized C-arms.
Solution Approach 2:
The patent performs preliminary acquisition of three-dimensional vascular images during a preoperative phase before the actual intervention. These pre-acquired 3D datasets are stored and then processed during the intervention to guide tool placement, eliminating the need for complex real-time 3D imaging equipment during the procedure itself.
2Extent of automation
If motorized C-arms with rotational capability are used to acquire 3D images during intervention, then automated recalibration is achieved, but the device becomes expensive and impractical for standard operating rooms
Solution Approach 1:
The patent performs all 3D image acquisition and recalibration operations during the preoperative phase using standard CT or MRI scanners, before the intervention begins. This preliminary action eliminates the need for motorized rotational C-arms during the actual procedure, as all necessary 3D data is already available and processed in advance.
Solution Approach 2:
The patent creates a digital three-dimensional copy or model of the patient's vascular structure from preoperative CT or MRI scans. This virtual 3D model serves as the basis for guidance during intervention, replacing the need for complex motorized imaging equipment while maintaining automated processing capabilities through computational algorithms.
3Device complexity
If manual recalibration is performed with non-motorized C-arms, then the system remains simple and affordable, but the process is time-consuming and requires repeated positioning adjustments
Solution Approach 1:
The patent performs all image acquisition and initial processing during the preoperative phase using standard equipment. By completing these tasks beforehand, the patent eliminates time-consuming manual recalibration during the intervention, as all necessary 3D data is already prepared and can be directly applied to guide the procedure.
4Loss of information
If three-dimensional image data is acquired during preoperative phase, then better understanding of operating field is achieved, but the information must be merged with two-dimensional images requiring complex recalibration processes
Solution Approach 1:
The patent creates a digital three-dimensional copy of the vascular structure from preoperative CT or MRI scans. This virtual model is then manipulated and displayed during intervention to guide tool placement. The 3D model serves as an independent information source that complements 2D fluoroscopic images, providing complete anatomical information without requiring complex merging or recalibration processes.
Data Source
AI summary
A method and a system are provided for helping to guide an endovascular tool in vascular structures. The method includes an initial planning phase in which a first three-dimensional anatomical model specific to the patient is determined from an acquired three-dimensional image, and an intervention phase in which a final transformation, which is a combination of a rigid transformation and of an elastic transformation, is applied to the first three-dimensional anatomical model specific to the patient in order to obtain a second three-dimensional model specific to the patient. The rigid transformation is estimated between the preoperative three-dimensional image and one or more perioperative two-dimensional images of perioperative two-dimensional images, and the elastic transformation is calculated as a function of a simulation of vascular deformations that are induced by introducing the tool into the target vascular structure.