Live-pig-airway surface imaging and whole-pig CT at the Australian Synchrotron Imaging and Medical Beamline.


Journal

Journal of synchrotron radiation
ISSN: 1600-5775
Titre abrégé: J Synchrotron Radiat
Pays: United States
ID NLM: 9888878

Informations de publication

Date de publication:
01 Jan 2019
Historique:
received: 03 05 2018
accepted: 05 10 2018
entrez: 19 1 2019
pubmed: 19 1 2019
medline: 5 3 2019
Statut: ppublish

Résumé

The Australian Synchrotron Imaging and Medical Beamline (IMBL) was designed to be the world's widest synchrotron X-ray beam, partly to enable clinical imaging and therapeutic applications for humans, as well as for imaging large-animal models. Our group is currently interested in imaging the airways of newly developed cystic fibrosis (CF) animal models that display human-like lung disease, such as the CF pig. One key outcome measure for assessing the effectiveness of CF airway therapies is the ability of the lung to clear inhaled particulates by mucociliary transit (MCT). This study extends the ex vivo sheep and pig tracheal-tissue studies previously performed by the authors at the IMBL. In the present study, attempts were made to determine whether the design of the IMBL is suitable for imaging tracheal MCT in live pigs. The movement of 200 µm-diameter high-refractive-index (HRI) glass-bead marker particles deposited onto the tracheal airway surface of eight live piglets was tracked and quantified and the MCT response to aerosol delivery was examined. A high-resolution computed tomographic (CT) whole-animal post-mortem scan of one pig was also performed to verify the large sample CT capabilities of the IMBL. MCT tracking particles were visible in all animals, and the automated MCT tracking algorithms used were able to identify and track many particles, but accuracy was reduced when particles moved faster than ∼6 mm min

Identifiants

pubmed: 30655483
pii: S1600577518014133
doi: 10.1107/S1600577518014133
doi:

Substances chimiques

Aerosols 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

175-183

Subventions

Organisme : NHMRC
ID : GNT1079712
Organisme : Seventh Framework Programme
ID : 291763

Auteurs

Martin Donnelley (M)

Robinson Research Institute, University of Adelaide, SA 5001, Australia.

Kaye S Morgan (KS)

School of Physics, Monash University, Clayton, Vic 3800, Australia.

Regine Gradl (R)

Institute for Advanced Study, Technische Universität München, 85748 Garching, Germany.

Mitzi Klein (M)

Imaging and Medical Beamline, Australian Synchrotron, Clayton, Vic 3800, Australia.

Daniel Hausermann (D)

Imaging and Medical Beamline, Australian Synchrotron, Clayton, Vic 3800, Australia.

Chris Hall (C)

Imaging and Medical Beamline, Australian Synchrotron, Clayton, Vic 3800, Australia.

Anton Maksimenko (A)

Imaging and Medical Beamline, Australian Synchrotron, Clayton, Vic 3800, Australia.

David W Parsons (DW)

Robinson Research Institute, University of Adelaide, SA 5001, Australia.

Articles similaires

Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell

Selecting optimal software code descriptors-The case of Java.

Yegor Bugayenko, Zamira Kholmatova, Artem Kruglov et al.
1.00
Software Algorithms Programming Languages
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice

Classifications MeSH