Method for Deformation Simulation and Device

Simple SummaryContent extracted from patent full text and abstract with AI.

This invention describes a method and device for simulating how a hollow organ (such as a blood vessel or intestine) deforms when a medical instrument (like a catheter, guidewire, or stent) is inserted into it. The simulation uses a machine learning algorithm that has been trained on pairs of 3D medical images (taken before and after deformation) to predict how the organ and its surrounding tissue would change shape in response to the instrument. This helps clinicians anticipate organ deformation during interventions, by utilizing patient-specific 3D scans and detailed information about both the organ and the instrument.

Use CasesContent extracted from patent full text and abstract with AI.

• Pre-procedure planning for endovascular aneurysm repair (EVAR) and other minimally invasive surgeries.
• Training and education of medical professionals using simulated scenarios.
• Intraoperative guidance for physicians during catheter or stent placement procedures.
• Development of personalized treatment strategies based on predicted anatomical changes.
• Integration with medical imaging systems (e.g., angiography or CT scanners) for real-time simulation during interventions.

BenefitsContent extracted from patent full text and abstract with AI.

• Enables accurate, patient-specific simulations of organ deformation, improving procedure planning and outcomes.
• Reduces the need for trial and error during interventions, minimizing patient risk and operation time.
• Eliminates the need for complex and time-consuming physical or manual deformation modeling by using machine learning.
• Considers both the organ and surrounding tissue properties, enhancing realism and simulation fidelity.
• Can help lower reliance on contrast agents (which can be harmful to some patients) by providing enhanced image-overlay guidance.
• Supports better clinical decision-making and customizes medical device selection for each patient's anatomy.

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Patent Abstract

A method for deformation simulation of a hollow organ able to be deformed by the introduction of a medical instrument. The method includes provision of a pre-trained machine-learning algorithm, provision of a 3D medical recording of the hollow organ with surrounding tissue, with the 3D recording having been recorded before the introduction of a medical instrument, segmentation or provision of a segmentation of the 3D medical recording of the hollow organ and establishment or provision of a three-dimensional model of the hollow organ, provision of information about a medical instrument introduced or to be introduced, and simulation of the deformation of the hollow organ to be expected from introduction of the instrument on the basis of the segmented 3D medical recording of the hollow organand of the surrounding tissue and of the information about the instrument by using the pre-trained machine-learning algorithm.