eCite Digital Repository

High resolution propagation-based imaging system for in vivo dynamic computed tomography of lungs in small animals


Preissner, M and Murrie, RP and Pinar, I and Werdiger, F and Carnibella, RP and Zosky, GR and Fouras, A and Dubsky, S, High resolution propagation-based imaging system for in vivo dynamic computed tomography of lungs in small animals, Physics in Medicine and Biology, 63, (8) Article 08NT03. ISSN 0031-9155 (2018) [Refereed Article]

PDF (Published version)

PDF (manuscript file)

Copyright Statement

2018 Institute of Physics and Engineering in Medicine. Licensed under Creative Commons Attribution 3.0 Unported (CC BY 3.0)

DOI: doi:10.1088/1361-6560/aab8d2


We have developed an x-ray imaging system for I>in vivo four-dimensional computed tomography (4DCT) of small animals for pre-clinical lung investigations. Our customized laboratory facility is capable of high resolution in vivo imaging at high frame rates. Characterization using phantoms demonstrate a spatial resolution of slightly below 50 μm at imaging rates of 30 Hz, and the ability to quantify material density differences of at least 3%. We benchmark our system against existing small animal pre-clinical CT scanners using a quality factor that combines spatial resolution, image noise, dose and scan time. In vivo. 4DCT images obtained on our system demonstrate resolution of important features such as blood vessels and small airways, of which the smallest discernible were measured as 5560 μm in cross section. Quantitative analysis of the images demonstrate regional differences in ventilation between injured and healthy lungs.

Item Details

Item Type:Refereed Article
Keywords:4DCT, in vivo, x-ray imaging, functional imaging, biological imaging, tomography
Research Division:Biomedical and Clinical Sciences
Research Group:Cardiovascular medicine and haematology
Research Field:Respiratory diseases
Objective Division:Health
Objective Group:Clinical health
Objective Field:Clinical health not elsewhere classified
UTAS Author:Zosky, GR (Professor Graeme Zosky)
ID Code:125430
Year Published:2018
Funding Support:National Health and Medical Research Council (1077905)
Web of Science® Times Cited:21
Deposited By:Medicine
Deposited On:2018-04-17
Last Modified:2022-08-25
Downloads:115 View Download Statistics

Repository Staff Only: item control page