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Related Experiment Video

Updated: Jun 5, 2026

Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality
07:46

Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality

Published on: August 9, 2024

SDFStent: Real-time interactive virtual stenting via SDF deformation fields.

Bohan J Li, Nicholas C Dorn, Andras Lasso

    Arxiv
    |June 4, 2026
    PubMed
    Summary
    This summary is machine-generated.

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    SDFStent virtually models stent placement in congenital heart disease (CHD) faster and more accurately than existing methods. This open-source tool generates patient-specific models for improved computational fluid dynamics (CFD) simulations.

    Area of Science:

    • Biomedical Engineering
    • Medical Imaging
    • Computational Science

    Background:

    • Transcatheter stenting is a common intervention for congenital heart disease (CHD).
    • Accurate computational fluid dynamics (CFD) simulations require precise post-operative vascular geometries, which are challenging to generate due to stent-induced shape changes.
    • Existing methods for modeling stent-induced geometry changes are often time-consuming, require manual effort, or inadequately represent the complex shapes.

    Purpose of the Study:

    • To introduce SDFStent, a novel signed distance function (SDF) based method for real-time virtual stenting.
    • To enable the generation of patient-specific vascular geometries that accurately reflect stent implantation for CFD simulations.
    • To improve the efficiency and accuracy of pre-operative planning and post-operative outcome prediction in CHD interventions.

    More Related Videos

    Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery
    06:18

    Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery

    Published on: December 6, 2024

    Related Experiment Videos

    Last Updated: Jun 5, 2026

    Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality
    07:46

    Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality

    Published on: August 9, 2024

    Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery
    06:18

    Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery

    Published on: December 6, 2024

    Main Methods:

    • Developed SDFStent, a signed distance function (SDF) based mesh deformation technique for virtual stenting.
    • Modeled the stent as a piecewise-capsule SDF surface combined with a smooth-minimum operator.
    • Displaced mesh vertices along the SDF gradient using a compactly supported fall-off function and alpha blending for real-time mesh deformation, ensuring mesh integrity and junction geometry preservation.

    Main Results:

    • SDFStent achieved a mean stented diameter of 5.92 ± 0.08 mm (prescribed 6.0 mm) in 1.5 seconds, over 100 times faster than the best comparator.
    • Generated watertight and self-intersection-free meshes for all tested cases.
    • CFD simulations using SDFStent-generated models showed post-operative pressure drops within 4 mmHg (mean error 2 mmHg) of clinical measurements for tetralogy of Fallot (ToF) and coarctation of the aorta (CoA) patients.

    Conclusions:

    • SDFStent provides a rapid and accurate method for generating simulation-ready post-stent vascular models from pre-operative data.
    • The tool's real-time performance and accuracy enhance the feasibility of virtual stenting for pre-operative planning and outcome prediction in CHD.
    • The open-source availability and scriptable architecture facilitate large-scale synthetic cohort generation for data-driven surrogate modeling in cardiovascular research.