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Tesi etd-06192019-175239


Thesis type
Tesi di laurea magistrale
Author
CORTI, MICHELE
URN
etd-06192019-175239
Title
Development of an in silico and an in vitro workflow for the planning of cerebral aneurysms intervention: an integrated approach with echo-PIV and CFD
Struttura
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
INGEGNERIA BIOMEDICA
Supervisors
relatore Prof. Landini, Luigi
controrelatore Prof.ssa Ahluwalia, Arti Devi
tutor Dott. Bouakaz, Ayache
tutor Ing. Celi, Simona
Parole chiave
  • aneurysm
  • 3D printing
  • echo piv
  • particle image velocimetry
  • cfd
  • computational fluid dynamics
Data inizio appello
12/07/2019;
Consultabilità
Secretata d'ufficio
Data di rilascio
12/07/2089
Riassunto analitico
The objective of this work is to develop a workflow to refine the blood flow study in cerebral arteries affected by aneurysms, utilizing Echo-Particle Imaging Velocimetry (ECHO-PIV) in vitro and Computational Fluid Dynamics (CFD). An integration between the mentioned tools is hereby carried out.
Commercially available Doppler-based ultrasound scanners demonstrate limitations for complex flow analyses in the deepest cerebral vessels, e.g. signal attenuation (low SNR), angle dependency, one velocity component estimation, while PC-MRI is affected by a low temporal resolution and high costs. These reasons led to the suggestion of methods with less significant downsides, aiming to measure the velocity components, that is to say, the Vector Flow Imaging techniques, which include ECHO-PIV. The advantage of this method resides on performing an echocardiography in vitro on the 3D printed patient's artery, in order to overcome the drawbacks mentioned above, for a more detailed study.
Firstly, the artery of interest is segmented and 3D printed. At this point, the in vitro ECHO-PIV functions with the acquisition of closely timed ultrasound B-mode images of microbubbles, special scatterers, flowing in the printed artery, by means of a contrast-enhanced ultrasound imaging. The 2D cross-correlation between consecutive frames provides the targets displacements, therefore, given the frame rate, the velocity components.
Secondly, CFD performs blood flow simulations in silico of the artery under exam, validating the ECHO-PIV and producing useful insights for blood flow assessments.
The accomplished results indicate the potentiality of this workflow, conceived as a promising path to follow for a patient-specific intervention.
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