Cell-to-Macroscale Working Group

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Contents 1 Cell-to-Macroscale Working Group 1.1 Goals and Objectives: 1.2 Participants: 1.3 Current State of the Art: 1.4 Challenges and Opportunities: 1.5 Presentations 1.6 Journal Articles:

Cell-to-Macroscale Working Group

Working Group leads: Ching-Long Lin ching-long-lin@uiowa.edu, Jim Brasseur brasseur@engr.psu.edu

Goals and Objectives:

Participants:

Current State of the Art:

Challenges and Opportunities:

Presentations

Friday July 13, 2012 at 1:00pm EDT

Multi-scale Image-based models for CFD simulations of pulmonary air flow

Dr. Youbing Yin

Abstract

Computational fluid dynamics (CFD) has become an attractive tool in understanding the characteristic of air flow in the human lungs. Due to inter-subject variations, subject specific simulations are essential for understanding structure-function relationship, assessing lung function and improving drug delivery. However, currently the subject specific CFD analysis remains challenging due, in large part to, two issues: construction of realistic deforming airway geometry and imposition of physiological boundary conditions. This presentation will first describe a mass-preserving nonrigid registration algorithm for matching three-dimensional (3D) MDCT lung images. We further demonstrate the ability to develop realistic, subject-specific dynamic lung models by utilizing the proposed registration method in order to address these two issues above. The proposed lung model combines both the 3D and 1D airway trees, considers the regional ventilation from a local voxel to global sub-lung regions, and accounts for turbulent-transitional-laminar flows, thus accounting for the nature of the multiscale in pulmonary air flow. Additionally, we developed image processing pipelines to evaluate CT repeatability, link MDCT-MRI lung images, build micro-CT-based acinar models, and study lobar sliding and FEM-based lung mechanics.

Archived Recording: https://webmeeting.nih.gov/p69936260/

Journal Articles:

• Special Issue on Multi-scale Modeling and Simulation of Biological Systems, Journal of Computational Physics

• The contributions to this special issue will be reviewed for fits as well as quality. If you are interested in contributing to this issue, please submit a letter of intent, which contains the following:

1. tentative title,
2. authors and institutions,
3. brief statement of the novel computational method (from the list above or other),
4. biological application area (cardiovascular, immunology, etc.), and
5. a brief abstract of the paper

• by email to Ching-long Lin, by May 15th, 2011. Invited authors will then submit a paper for review.