A Spatiotemporal exploration and 3D modeling of blood flow in healthy carotid artery bifurcation from two modalities: Ultrasound-Doppler and phase contrast MRI.


Journal

Computers in biology and medicine
ISSN: 1879-0534
Titre abrégé: Comput Biol Med
Pays: United States
ID NLM: 1250250

Informations de publication

Date de publication:
03 2020
Historique:
received: 17 07 2019
revised: 31 01 2020
accepted: 03 02 2020
entrez: 17 3 2020
pubmed: 17 3 2020
medline: 22 6 2021
Statut: ppublish

Résumé

In the present study, we investigated the velocity profile over the carotid bifurcation in ten healthy volunteers by combining velocity measurements from two imaging modalities (PC-MRI and US-Doppler) and hemodynamic modeling in order to determine the optimal combination for the most realistic velocity estimation. The workflow includes data acquisition, velocity profile extraction at three sites (CCA, ECA and ICA), the arterial geometrical model reconstruction, a mesh generation and a rheological modeling. The results showed that US-Doppler measurements yielded higher velocity values as compared to PC-MRI (about 26% shift in CCA, 52% in ECA and 53% in ICA). This implies higher simulated velocities based on US-Doppler inlet as compared to simulated velocities based on PC-MRI inlet. Overall, PC-MRI inlet based simulations are closer to measurements than US-Doppler inlet based simulations. Moreover, the measured velocities showed that blood flow keeps a parabolic sectional profile distal from CCA, ECA and ICA, while being quite disturbed in the carotid sinus with a significant decrease in magnitude making this site very prone to atherosclerosis.

Identifiants

pubmed: 32174315
pii: S0010-4825(20)30038-X
doi: 10.1016/j.compbiomed.2020.103644
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103644

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Arij Debbich (A)

LTIM: Laboratory of Technology and Medical Imaging, Faculty of Medicine, University of Monastir, Tunisia; National School of Engineers of Sfax, University of Sfax, Tunisia. Electronic address: arij.debbich@gmail.com.

Asma Ben Abdallah (A)

LTIM: Laboratory of Technology and Medical Imaging, Faculty of Medicine, University of Monastir, Tunisia. Electronic address: assoumaba@yahoo.com.

Mezri Maatouk (M)

Medical Imaging Department, CHU Fattouma Bourguiba, Monastir, Tunisia. Electronic address: m.mezri@gmail.com.

Badii Hmida (B)

Medical Imaging Department, CHU Fattouma Bourguiba, Monastir, Tunisia. Electronic address: hmidabadii@gmail.com.

Monica Sigovan (M)

Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69621, LYON, France. Electronic address: monica.sigovan@creatis.insa-lyon.fr.

Patrick Clarysse (P)

Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F-69621, LYON, France. Electronic address: patrick.clarysse@creatis.insa-lyon.fr.

Mohamed Hédi Bedoui (MH)

LTIM: Laboratory of Technology and Medical Imaging, Faculty of Medicine, University of Monastir, Tunisia. Electronic address: MedHedi.Bedoui@fmm.rnu.tn.

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Classifications MeSH