From 4D Medical Images (CT, MRI, and Ultrasound) to 4D Structured Mesh Models of the Left Ventricular Endocardium for Patient-Specific Simulations

Overview

Journal Biomed Res Int

Publisher Wiley

Specialties Biomedical Engineering
Biotechnology
General Medicine

Date 2018 Mar 9

PMID 29516008

Citations 3

Authors

Federico Cane

Benedict Verhegghe

Matthieu De Beule

Philippe B Bertrand

Rob J van der Geest

Patrick Segers

Gianluca De Santis

Affiliations

Soon will be listed here.

Abstract

With cardiovascular disease (CVD) remaining the primary cause of death worldwide, early detection of CVDs becomes essential. The intracardiac flow is an important component of ventricular function, motion kinetics, wash-out of ventricular chambers, and ventricular energetics. Coupling between Computational Fluid Dynamics (CFD) simulations and medical images can play a fundamental role in terms of patient-specific diagnostic tools. From a technical perspective, CFD simulations with moving boundaries could easily lead to negative volumes errors and the sudden failure of the simulation. The generation of high-quality 4D meshes (3D in space + time) with 1-to-1 vertex becomes essential to perform a CFD simulation with moving boundaries. In this context, we developed a semiautomatic morphing tool able to create 4D high-quality structured meshes starting from a segmented 4D dataset. To prove the versatility and efficiency, the method was tested on three different 4D datasets (Ultrasound, MRI, and CT) by evaluating the quality and accuracy of the resulting 4D meshes. Furthermore, an estimation of some physiological quantities is accomplished for the 4D CT reconstruction. Future research will aim at extending the region of interest, further automation of the meshing algorithm, and generating structured hexahedral mesh models both for the blood and myocardial volume.

Citing Articles

A CFD study on the interplay of torsion and vortex guidance by the mitral valve on the left ventricular wash-out making use of overset meshes (Chimera technique).

Cane F, Delcour L, Luigi Redaelli A, Segers P, Degroote J Front Med Technol. 2023; 4:1018058.

PMID: 36619345 PMC: 9814007. DOI: 10.3389/fmedt.2022.1018058.

Structural Responses of Integrated Parametric Aortic Valve in an Electro-Mechanical Full Heart Model.

Morany A, Lavon K, Bluestein D, Hamdan A, Haj-Ali R Ann Biomed Eng. 2020; 49(1):441-454.

PMID: 32705423 PMC: 7775292. DOI: 10.1007/s10439-020-02575-0.

Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring.

Chowdhury M, Khandakar A, Alzoubi K, Mansoor S, Tahir A, Reaz M Sensors (Basel). 2019; 19(12).

PMID: 31226869 PMC: 6630694. DOI: 10.3390/s19122781.

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