Simultaneous assessment of lung morphology and respiratory motion in retrospectively gated in-vivo microCT of free breathing anesthetized mice.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
02 08 2022
Historique:
received: 26 02 2022
accepted: 25 07 2022
entrez: 2 8 2022
pubmed: 3 8 2022
medline: 5 8 2022
Statut: epublish

Résumé

Retrospective gating (RG) is a well established technique in preclinical computed tomography (CT) to assess 3D morphology of the lung. In RG additional angular projections are recorded typically by performing multiple rotations. Consequently, the projections are sorted according to the expansion state of the chest and those sets are then reconstructed separately. Thus, the breathing motion artefacts are suppressed at a cost of strongly elevated X-ray dose levels. Here we propose to use the entire raw data to assess respiratory motion in addition to retrospectively gated 3D reconstruction that visualize anatomical structures of the lung. Using this RG based X-ray respiratory motion measurement approach, which will be referred to as RG based X-ray lung function measurement (rgXLF) on the example of the mdx mouse model of Duchenne muscle dystrophy (mdx) we accurately obtained both the 3D anatomical morphology of the lung and the thoracic bones as well as functional temporal parameters of the lung. Thus, rgXLF will remove the necessity for separate acquisition procedures by being able to reproduce comparable results to the previously established planar X-ray based lung function measurement approach in a single low dose CT scan.

Identifiants

pubmed: 35918439
doi: 10.1038/s41598-022-17335-4
pii: 10.1038/s41598-022-17335-4
pmc: PMC9345384
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

13299

Informations de copyright

© 2022. The Author(s).

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Auteurs

Christian Dullin (C)

Institute for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen, Germany. christian.dullin@protonmail.com.
Max-Plank-Institute for Multidisciplinary Sciences, Translational Molecular Imaging, Goettingen, Germany. christian.dullin@protonmail.com.
Institute for Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany. christian.dullin@protonmail.com.

Angelika Svetlove (A)

Max-Plank-Institute for Multidisciplinary Sciences, Translational Molecular Imaging, Goettingen, Germany.

Jana Zschüntzsch (J)

Clinic for Neurology, University Medical Center Goettingen, Göettingen, Germany.

Frauke Alves (F)

Institute for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen, Germany.
Max-Plank-Institute for Multidisciplinary Sciences, Translational Molecular Imaging, Goettingen, Germany.
Clinic for Haematology and Medical Oncology, University Medical Center Goettingen, Goettingen, Germany.
Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Goettingen, Goettingen, Germany.

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