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Related Experiment Video

Updated: Oct 30, 2025

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

Addressing Discrepancies between Experimental and Computational Procedures.

Milan Toma¹, Satvinder K Guru¹, Wayne Wu¹

¹Serota Academic Center (Room 138), New York Institute of Technology, Department of Osteopathic Manipulative Medicine, College of Osteopathic Medicine, Northern Boulevard, P.O. Box 8000, Old Westbury, NY 11568, USA.

|July 2, 2021

Summary

This summary is machine-generated.

Accurate heart valve modeling requires careful preparation to avoid geometric errors. This study adjusts 3D valve geometry using inverse fluid-structure interaction analysis to ensure realistic computational results and proper valve closure.

Keywords:

chordae tendineae chordal structure comprehensive computational model fixation fluid–structure interaction heart valve inverse finite element smooth particle hydrodynamics

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Area of Science:

Biomedical Engineering
Computational Fluid Dynamics
Medical Imaging

Background:

Subject-specific heart valve imaging is vital for computational analysis and design.
Experimental variables and preparation methods can introduce geometric errors in 3D valve models.
Existing methods may alter original valve dimensions, impacting model accuracy.

Purpose of the Study:

To address geometric inaccuracies in 3D heart valve models derived from imaging.
To ensure that computational models reflect realistic valve function, specifically closure.
To develop a method for adjusting 3D valve geometry for improved simulation fidelity.

Main Methods:

Utilizing inverse fluid-structure interaction (FSI) analysis.
Assessing valve closure based on the simulated geometry.
Iteratively adjusting the 3D geometry until satisfactory valve closure is achieved.

Main Results:

Identified that initial 3D geometries may not accurately represent pre-excision dimensions.
Demonstrated the use of inverse FSI to evaluate valve closure in computational models.
Established a protocol for geometric adjustment to achieve realistic valve closure.

Conclusions:

Geometric accuracy is critical for reliable computational analysis of heart valves.
Inverse FSI analysis is a viable method for assessing and correcting valve geometry for closure.
Adjusted geometries are necessary to ensure realistic simulation outcomes for heart valve design and analysis.