Phase-contrast computed tomography for quantification of structural changes in lungs of asthma mouse models of different severity
2015 (English)In: Journal of Synchrotron Radiation, ISSN 0909-0495, E-ISSN 1600-5775, Vol. 22, 1106-1111 p.Article in journal (Refereed) Published
Lung imaging in mouse disease models is crucial for the assessment of the severity of airway disease but remains challenging due to the small size and the high porosity of the organ. Synchrotron inline free-propagation phase-contrast computed tomography (CT) with its intrinsic high soft-tissue contrast provides the necessary sensitivity and spatial resolution to analyse the mouse lung structure in great detail. Here, this technique has been applied in combination with single-distance phase retrieval to quantify alterations of the lung structure in experimental asthma mouse models of different severity. In order to mimic an in vivo situation as close as possible, the lungs were inflated with air at a constant physiological pressure. Entire mice were embedded in agarose gel and imaged using inline free-propagation phase-contrast CT at the SYRMEP beamline (Synchrotron Light Source, Elettra, Trieste, Italy). The quantification of the obtained phase-contrast CT data sets revealed an increasing lung soft-tissue content in mice correlating with the degree of the severity of experimental allergic airways disease. In this way, it was possible to successfully discriminate between healthy controls and mice with either mild or severe allergic airway disease. It is believed that this approach may have the potential to evaluate the efficacy of novel therapeutic strategies that target airway remodelling processes in asthma.
Place, publisher, year, edition, pages
International Union of Crystallography , 2015. Vol. 22, 1106-1111 p.
phase-contrast CT; single-distance phase retrieval; lung imaging; asthma mouse models
Atom and Molecular Physics and Optics
IdentifiersURN: urn:nbn:se:liu:diva-120350DOI: 10.1107/S1600577515006177ISI: 000357407900030PubMedID: 26134818OAI: oai:DiVA.org:liu-120350DiVA: diva2:843888
Funding Agencies|German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) [DU 1403/1-1]2015-07-312015-07-312015-09-02