Award Winner
« Back
Monica Piergiovanni Wins Best Poster Award at Lab-on-a-Chip & Microfluidics 2016
Monica Piergiovanni Wins Best Poster Award at Lab-on-a-Chip & Microfluidics 2016

The aim of the work is to investigate the local fluid dynamics in the hepatic microcirculation by means of a Computational Fluid Dynamic (CFD) model, built from in vivo images of a mouse liver obtained with a 2-photon microscope.
Poster
COMPUTATIONAL FLUID DYNAMIC (CFD) MODEL OF HEPATIC MICROCIRCULATION BASED ON in vivo IMAGES OF MOUSE LIVER
COMPUTATIONAL FLUID DYNAMIC (CFD) MODEL OF HEPATIC MICROCIRCULATION BASED ON in vivo IMAGES OF MOUSE LIVER
Monica Piergiovanni1, Elena Bianchi1, Lucia Ganzer2, Giada Capitani1, Irene Li Piani1, Matteo Iannacone2,3, Luca G. Guidotti2,3, Gabriele Dubini1
1Laboratory of Biological Structure Mechanics, Chemistry, Materials and Chemical Engineering Department ”G. Natta”, Politecnico di Milano, Milan, Italy 2 Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy 3 Vita-Salute San Raffaele University, Milan, Italy
Poster Views: 5,431
view poster »
Poster Abstract
The liver is organized in hexagonal functional units - termed lobules - characterized by a rather peculiar blood microcirculation, due to the presence of a tangled network of capillaries – termed sinusoids. A better understanding of the hemodynamics that govern liver microcirculation is relevant to clinical and biological studies aimed at improving our management of liver diseases and transplantation.
Herein, we built a CFD model of a 3D sinusoidal network, based on in vivo images of a physiological mouse liver obtained with a 2-photon microscope. The CFD model was developed with Fluent 16.0 (ANSYS Inc., Canonsburg, PA), imposing a mass flow rate as inlet condition. To account for the remaining branches of the sinusoids, a lumped parameter model was used to prescribe the correct pressure at each outlet.
The model here proposed accurately reproduces the fluid dynamics in a portion of the sinusoidal network in mouse liver. Mean velocities and mass flow rates are in agreement with literature values from in vivo measurements [1, 2]. Our approach provides details on local phenomena, hardly described by other computational studies, either focused on the macroscopic hepatic vasculature [3] or based on homogeneous porous medium model [4, 5].


Related Posters


¿LA HIPERTENSIÓN ARTERIAL INCREMENTA EL RIESGO DE DETERIORO COGNITIVO?
Wail Farouki, Ana Casas, Emmanuel Herrera, Paula Cuellar

BAT Molecular Imaging with SPECT-CT, PET-CT, PET-MRI and Fluorescence-PET: A Systematic Review of the Literature Data
Tarik Z Belhocine, MD., Ph.D *, Albert A Driedger, MD., Ph.D **, Jean-Luc Urbain, MD., Ph.D ***

What are HIV and AIDS
Karwan M. Qadr and Abdulla Azad

Accelerating high-throughput screening with FirePlex®-HT:An automatable, multiplex immunoassay using FirePlex® Particle Technology
A. Perea, B. Heinrich, W. Austin, C. Rafferty, M. Camilleri, L. To, E. Atabakhsh, and D. Pregibon

The Good, the Bad and the Ugly: Selective single cell isolation
Sandra Lubos1,2, Nils Körber1, Heide Marie Resch1, Iris Augustin2, Stefan Niehren1