Quick Search:

uzh logo
Browse by:
bullet
bullet
bullet
bullet

Zurich Open Repository and Archive 

Tsuda, A; Filipovic, N; Haberthur, D; Dickie, R; Matsui, Y; Stampanoni, M; Schnittny, J C (2008). Finite element 3D reconstruction of the pulmonary acinus imaged by synchrotron X-ray tomography. Journal of Applied Physiology, 105:964-976.

Full text not available from this repository.

Abstract

The alveolated structure of the pulmonary acinus plays a vital role in gas exchange function. Three-dimensional (3D) analysis of the parenchymal region is fundamental to understanding this structure-function relationship, but only a limited number of attempts have been conducted in the past because of technical limitations. In this study, we developed a new image processing methodology based on finite element (FE) analysis for accurate 3D structural reconstruction of the gas exchange regions of the lung. Stereologically well characterized rat lung samples (Pediatr Res 53: 72-80, 2003) were imaged using high-resolution synchrotron radiation-based X-ray tomographic microscopy. A stack of 1,024 images (each slice: 1024 x 1024 pixels) with resolution of 1.4 mum(3) per voxel were generated. For the development of FE algorithm, regions of interest (ROI), containing approximately 7.5 million voxels, were further extracted as a working subunit. 3D FEs were created overlaying the voxel map using a grid-based hexahedral algorithm. A proper threshold value for appropriate segmentation was iteratively determined to match the calculated volume density of tissue to the stereologically determined value (Pediatr Res 53: 72-80, 2003). The resulting 3D FEs are ready to be used for 3D structural analysis as well as for subsequent FE computational analyses like fluid dynamics and skeletonization.

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Biomedical Engineering
DDC:170 Ethics
610 Medicine & health
Language:English
Date:2008
Deposited On:22 Jan 2009 08:37
Last Modified:23 Nov 2012 16:25
Publisher:American Physiological Society
ISSN:0161-7567
Publisher DOI:10.1152/japplphysiol.90546.2008
PubMed ID:18583378
Citations:Google Scholar™
Scopus®. Citation Count: 39

Users (please log in): suggest update or correction for this item

Repository Staff Only: item control page