A Computational Study of Blood Flow Dynamics in the Pulmonary Arteries

Marcinno’, Fabio; Zingaro, Alberto; Fumagalli, Ivan; Dedè, Luca; Vergara, Christian

doi:10.1007/s10013-022-00595-y

Cited by 8 publications

(3 citation statements)

References 43 publications

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“…Taking into account existing literature [27], the conditions concerning the bloodstream inside the aorta were selected with the following assumptions; Firstly, the blood was assumed as an incompressible Newtonian fluid with a constant density (ρ) of 1,060 kg/m 3 and a constant viscosity (μ) of 0.004 Pa•s (4 cP) [28,29]. Furthermore, the arterial wall was set as rigid, and their elasticity and thickness were assumed as negligible.…”

Section: Applied Methodology Numerical Modelmentioning

confidence: 99%

Examination of a Human Heart utilizing Virtual Reality, Additive Manufacturing and Computational Technologies

Charalampous

Kladovasilakis

Zoumaki

et al. 2023

Preprint

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Purpose In this paper, an innovative approach concerning the investigation of the human heart is introduced employing state-of-the-art technologies. The presented technological tools aim in the creation of an innovative digital environment, where gaining surgical experience and developing pre-operative strategies could be achieved without the risk and anxiety of an actual heart surgery. Methods Sophisticated algorithms were developed in order to automatically reconstruct a 3D model of a human heart based on DICOM data and to segment the main parts that constitutes it. Taking into account the reconstructed 3D model, a diagnosis of the examined patient can be derived, where in the present study a Coarctation of the Aorta (CoA) clinical case was inspected. In addition, numerical approaches were considered that are able to simulate flows on complex shapes. Finally, a physical model was 3D printed via the MultiJet 3D Printing (MJP) process utilizing flexible materials. Results The outcomes of the computation analysis coupled with the automatically reconstructed and segmented patient-specific 3D model are inserted in a Virtual Reality (VR) environment, where the clinicians can visualize the blood flow at the vessel walls and train on real-life medical scenarios, enhancing that way the procedural understanding prior to the actual operation. Moreover, the 3D printed heart possesses an adequate mechanical response replicating the mechanical properties as well as the geometrical characteristics of the investigated human heart. Conclusions The present study introduced a robust software module for inspecting human hearts, aiding that way the medical doctors on the optimal preoperative assessment of patients with heart diseases using as input only the DICOM data of the examined patient.

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Section: Applied Methodology Numerical Modelmentioning

confidence: 99%

Examination of a Human Heart utilizing Virtual Reality, Additive Manufacturing and Computational Technologies

Charalampous

Kladovasilakis

Zoumaki

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Taking into account the existing literature [29], the conditions concerning the bloodstream inside the aorta were selected with the following assumptions. First, the blood was assumed to be an incompressible Newtonian fluid with a constant density (ρ) of 1060 kg/m 3 and a constant viscosity (μ) of 0.004 Pa•s (4 cP) [30,31]. Furthermore, the boundary conditions regarding the arterial walls were set as stationary and rigid, with their elasticity and thickness set to be negligible.…”

Section: Numerical Modelmentioning

confidence: 99%

Examination of a Human Heart Fabricating Its 3D-Printed Cardiovascular Model and Employing Computational Technologies

Charalampous,

Kladovasilakis,

Zoumaki

et al. 2023

Applied Sciences

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In this paper, an innovative approach concerning the investigation of the human heart is introduced, employing state-of-the-art technologies. In particular, sophisticated algorithms were developed to automatically reconstruct a 3D model of a human heart based on DICOM data and to segment the main parts that constitute it. Regarding the reconstructed 3D model, a diagnosis of the examined patient can be derived, whereas in the present study, a clinical case involving the coarctation of the aorta was inspected. Moreover, numerical approaches that are able to simulate flows on complex shapes were considered. Thereupon, the outcomes of the computation analysis coupled with the segmented patient-specific 3D model were inserted in a virtual reality environment, where the clinicians can visualize the blood flow at the vessel walls and train on real-life medical scenarios, enhancing their procedural understanding prior to the actual operation. The physical model was 3D-printed via the MultiJet 3D printing process utilizing materials possessing an adequate mechanical response replicating the mechanical properties and the geometrical characteristics of the human heart. The presented tools aim at the creation of an innovative digital environment, where gaining surgical experience and developing pre-operative strategies could be achieved without the risk and anxiety of actual surgery.

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“…A possible approach is the so called geometric multiscale modeling [50]: the region of interest (in our case, the whole-heart) is described by a 3D model, while the remaining part of the circulation is addressed by means of lumped-parameter models, as 0D [50][51][52][53][54], or 1D [40,50,[55][56][57]. The geometric multiscale modeling allows to account for the mutual interaction between the heart and the circulatory system, especially if the lumped parameter model provides a closed-loop description of the vascular network, as done in [26,51,[58][59][60][61].…”

Section: Introductionmentioning

confidence: 99%

An electromechanics-driven fluid dynamics model for the simulation of the whole human heart

Zingaro¹,

Bucelli²,

Piersanti³

et al. 2023

Preprint

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We introduce a multiphysics and geometric multiscale computational model, suitable to describe the hemodynamics of the whole human heart, driven by a four-chamber electromechanical model. We first present a study on the calibration of the biophysically detailed RDQ20 activation model that is able to reproduce the physiological range of hemodynamic biomarkers. Then, we demonstrate that the ability of the force generation model to reproduce certain microscale mechanisms, such as the dependence of force on fiber shortening velocity, is crucial to capture the overall physiological mechanical and fluid dynamics macroscale behavior. This motivates the need for using multiscale models with high biophysical fidelity, even when the outputs of interest are relative to the macroscale. We show that the use of a high-fidelity electromechanical model, combined with a detailed calibration process, allows us to achieve a remarkable biophysical fidelity in terms of both mechanical and hemodynamic quantities. Indeed, our electromechanical-driven CFD simulationscarried out on an anatomically accurate geometry of the whole heart -provide results that match the cardiac physiology both qualitatively (in terms of flow patterns) and quantitatively (when comparing in silico results with biomarkers acquired in vivo). Moreover, we consider the pathological case of left bundle branch block, and we investigate the consequences that an electrical abnormality has on cardiac hemodynamics thanks to our multiphysics integrated model. The computational model that we propose can faithfully predict a delay and an increasing wall shear stress in the left ventricle in the pathological condition. The interaction of different physical processes in an integrated framework allows us to faithfully describe and model this pathology, by capturing and reproducing the intrinsic multiphysics nature of the human heart.

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A Computational Study of Blood Flow Dynamics in the Pulmonary Arteries

Cited by 8 publications

References 43 publications

Examination of a Human Heart utilizing Virtual Reality, Additive Manufacturing and Computational Technologies

Examination of a Human Heart utilizing Virtual Reality, Additive Manufacturing and Computational Technologies

Examination of a Human Heart Fabricating Its 3D-Printed Cardiovascular Model and Employing Computational Technologies

An electromechanics-driven fluid dynamics model for the simulation of the whole human heart

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