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High resolution propagation-based imaging system for in vivo dynamic computed tomography of lungs in small animals
Citation
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]
Copyright Statement
© 2018 Institute of Physics and Engineering in Medicine. Licensed under Creative Commons Attribution 3.0 Unported (CC BY 3.0) https://creativecommons.org/licenses/by/3.0/
DOI: doi:10.1088/1361-6560/aab8d2
Abstract
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 55–60 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 |
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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 |
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