Finite element 3D reconstruction of the pulmonary acinus imaged by synchrotron X-ray tomography

Tsuda, A; Filipovic, N; Haberthür, D; Dickie, R; Matsui, Y; Stampanoni, M; Schittny, J C (2008). Finite element 3D reconstruction of the pulmonary acinus imaged by synchrotron X-ray tomography. Journal of applied physiology, 105(3), pp. 964-76. Bethesda, Md.: American Physiological Society 10.1152/japplphysiol.90546.2008

Full text not available from this repository. (Request a copy)

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 (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Anatomy > Functional Anatomy

UniBE Contributor:

Haberthür, David and Schittny, Johannes

ISSN:

8750-7587

ISBN:

18583378

Publisher:

American Physiological Society

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 15:03

Last Modified:

06 Dec 2013 13:53

Publisher DOI:

10.1152/japplphysiol.90546.2008

PubMed ID:

18583378

Web of Science ID:

000259038900026

URI:

https://boris.unibe.ch/id/eprint/27533 (FactScience: 108750)

Actions (login required)

Edit item Edit item
Provide Feedback