Title

A Physics-Based Modeling And Real-Time Simulation Of Biomechanical Diffusion Process Through Optical Imaged Alveolar Tissues On Graphical Processing Units

Abstract

Tissue engineering has broad applications from creating the much-needed engineered tissue and organ structures for regenerative medicine to providing in vitro testbeds for drug testing. In the latter, application domain, creating alveolar lung tissue, and simulating the diffusion process of oxygen and other possible agents from the air into the blood stream as well as modeling the removal of carbon dioxide and other possible entities from the blood stream are of critical importance to simulating lung functions in various environments. In this chapter, we propose a physics-based model to simulate the alveolar gas exchange and the alveolar diffusionDiffusion alveolar process. Tissue engineers, for the first time, may utilize these simulation results to better understand the underlying gas exchange process and properly adjust the tissue growing cycles. In this work, alveolar tissues are imaged by means of an optical coherence microscopyOptical coherence microscopy (OCM Modality OCM) system developed in our laboratory. As a consequence, 3D alveoli tissue data with its inherent complex boundary is taken as input to the simulationSimulation diffusion system, which is based on computational fluid mechanics in simulating the alveolar gas exchange. The visualizationVisualization and the simulation of diffusion of the air into the blood through the alveoli tissue is performed using a state-of-art graphics processing unitGraphics processing unit (GPU). Results show the real-time simulation of the gas exchange through the 2D alveoli tissue. © 2009 Springer-Verlag London.

Publication Date

12-1-2009

Publication Title

Recent Advances in the 3D Physiological Human

Number of Pages

149-162

Document Type

Article; Book Chapter

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-1-84882-565-9_10

Socpus ID

84892351364 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84892351364

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