From 4D Medical Images (CT, MRI, and Ultrasound) to 4D Structured Mesh Models of the Left Ventricular Endocardium for Patient-Specific Simulations
Joint Authors
Canè, Federico
Verhegghe, Benedict
De Beule, Matthieu
Bertrand, Philippe B.
Van der Geest, Rob J.
Segers, Patrick
De Santis, Gianluca
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-08
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Canè, Federico& Verhegghe, Benedict& De Beule, Matthieu& Bertrand, Philippe B.& Van der Geest, Rob J.& Segers, Patrick…[et al.]. 2018. From 4D Medical Images (CT, MRI, and Ultrasound) to 4D Structured Mesh Models of the Left Ventricular Endocardium for Patient-Specific Simulations. BioMed Research International،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1128231
Modern Language Association (MLA)
Canè, Federico…[et al.]. From 4D Medical Images (CT, MRI, and Ultrasound) to 4D Structured Mesh Models of the Left Ventricular Endocardium for Patient-Specific Simulations. BioMed Research International No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1128231
American Medical Association (AMA)
Canè, Federico& Verhegghe, Benedict& De Beule, Matthieu& Bertrand, Philippe B.& Van der Geest, Rob J.& Segers, Patrick…[et al.]. From 4D Medical Images (CT, MRI, and Ultrasound) to 4D Structured Mesh Models of the Left Ventricular Endocardium for Patient-Specific Simulations. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1128231
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1128231