Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography

Knowledge of the lung vessel morphology in healthy subjects is necessary to improve our understanding about the functional network of the lung and to recognize pathologic deviations beyond the normal inter-subject variation. Established values of normal lung morphology have been derived from necrops...

Full description

Bibliographic Details
Main Authors: Michael Pienn, Caroline Burgard, Christian Payer, Alexander Avian, Martin Urschler, Rudolf Stollberger, Andrea Olschewski, Horst Olschewski, Thorsten Johnson, Felix G. Meinel, Zoltán Bálint
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-04-01
Series:Frontiers in Physiology
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fphys.2018.00346/full
id doaj-49092a49478b4f56942e85121686bbab
record_format Article
spelling doaj-49092a49478b4f56942e85121686bbab2020-11-25T00:01:26ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2018-04-01910.3389/fphys.2018.00346333715Healthy Lung Vessel Morphology Derived From Thoracic Computed TomographyMichael Pienn0Caroline Burgard1Christian Payer2Christian Payer3Alexander Avian4Martin Urschler5Martin Urschler6Rudolf Stollberger7Andrea Olschewski8Horst Olschewski9Horst Olschewski10Thorsten Johnson11Felix G. Meinel12Zoltán Bálint13Zoltán Bálint14Ludwig Boltzmann Institute for Lung Vascular Research, Graz, AustriaClinic and Policlinic of Radiology, Ludwig-Maximilians-University Hospital, Munich, GermanyLudwig Boltzmann Institute for Lung Vascular Research, Graz, AustriaFaculty of Computer Science and Biomedical Engineering, Institute of Computer Graphics and Vision, Graz University of Technology, Graz, AustriaInstitute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, AustriaFaculty of Computer Science and Biomedical Engineering, Institute of Computer Graphics and Vision, Graz University of Technology, Graz, AustriaLudwig Boltzmann Institute for Clinical-Forensic Imaging, Graz, AustriaFaculty of Computer Science and Biomedical Engineering, Institute of Medical Engineering, Graz University of Technology, Graz, AustriaLudwig Boltzmann Institute for Lung Vascular Research, Graz, AustriaLudwig Boltzmann Institute for Lung Vascular Research, Graz, AustriaDivision of Pulmonology, Department of Internal Medicine, Medical University of Graz, Graz, AustriaRadiologie München GbR, Munich, GermanyDepartment of Diagnostic and Interventional Radiology, Rostock University Medical Center, Rostock, GermanyLudwig Boltzmann Institute for Lung Vascular Research, Graz, Austria0Faculty of Physics, Babeş-Bolyai University, Cluj-Napoca, RomaniaKnowledge of the lung vessel morphology in healthy subjects is necessary to improve our understanding about the functional network of the lung and to recognize pathologic deviations beyond the normal inter-subject variation. Established values of normal lung morphology have been derived from necropsy material of only very few subjects. In order to determine morphologic readouts from a large number of healthy subjects, computed tomography pulmonary angiography (CTPA) datasets, negative for pulmonary embolism, and other thoracic pathologies, were analyzed using a fully-automatic, in-house developed artery/vein separation algorithm. The number, volume, and tortuosity of the vessels in a diameter range between 2 and 10 mm were determined. Visual inspection of all datasets was used to exclude subjects with poor image quality or inadequate artery/vein separation from the analysis. Validation of the algorithm was performed manually by a radiologist on randomly selected subjects. In 123 subjects (men/women: 55/68), aged 59 ± 17 years, the median overlap between visual inspection and fully-automatic segmentation was 94.6% (69.2–99.9%). The median number of vessel segments in the ranges of 8–10, 6–8, 4–6, and 2–4 mm diameter was 9, 34, 134, and 797, respectively. Number of vessel segments divided by the subject's lung volume was 206 vessels/L with arteries and veins contributing almost equally. In women this vessel density was about 15% higher than in men. Median arterial and venous volumes were 1.52 and 1.54% of the lung volume, respectively. Tortuosity was best described with the sum-of-angles metric and was 142.1 rad/m (138.3–144.5 rad/m). In conclusion, our fully-automatic artery/vein separation algorithm provided reliable measures of pulmonary arteries and veins with respect to age and gender. There was a large variation between subjects in all readouts. No relevant dependence on age, gender, or vessel type was observed. These data may provide reference values for morphometric analysis of lung vessels.http://journal.frontiersin.org/article/10.3389/fphys.2018.00346/fullpulmonary circulationmorphologycomputed tomographyhealthy reference valuesautomated image analysisartery/vein separation
collection DOAJ
language English
format Article
sources DOAJ
author Michael Pienn
Caroline Burgard
Christian Payer
Christian Payer
Alexander Avian
Martin Urschler
Martin Urschler
Rudolf Stollberger
Andrea Olschewski
Horst Olschewski
Horst Olschewski
Thorsten Johnson
Felix G. Meinel
Zoltán Bálint
Zoltán Bálint
spellingShingle Michael Pienn
Caroline Burgard
Christian Payer
Christian Payer
Alexander Avian
Martin Urschler
Martin Urschler
Rudolf Stollberger
Andrea Olschewski
Horst Olschewski
Horst Olschewski
Thorsten Johnson
Felix G. Meinel
Zoltán Bálint
Zoltán Bálint
Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography
Frontiers in Physiology
pulmonary circulation
morphology
computed tomography
healthy reference values
automated image analysis
artery/vein separation
author_facet Michael Pienn
Caroline Burgard
Christian Payer
Christian Payer
Alexander Avian
Martin Urschler
Martin Urschler
Rudolf Stollberger
Andrea Olschewski
Horst Olschewski
Horst Olschewski
Thorsten Johnson
Felix G. Meinel
Zoltán Bálint
Zoltán Bálint
author_sort Michael Pienn
title Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography
title_short Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography
title_full Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography
title_fullStr Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography
title_full_unstemmed Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography
title_sort healthy lung vessel morphology derived from thoracic computed tomography
publisher Frontiers Media S.A.
series Frontiers in Physiology
issn 1664-042X
publishDate 2018-04-01
description Knowledge of the lung vessel morphology in healthy subjects is necessary to improve our understanding about the functional network of the lung and to recognize pathologic deviations beyond the normal inter-subject variation. Established values of normal lung morphology have been derived from necropsy material of only very few subjects. In order to determine morphologic readouts from a large number of healthy subjects, computed tomography pulmonary angiography (CTPA) datasets, negative for pulmonary embolism, and other thoracic pathologies, were analyzed using a fully-automatic, in-house developed artery/vein separation algorithm. The number, volume, and tortuosity of the vessels in a diameter range between 2 and 10 mm were determined. Visual inspection of all datasets was used to exclude subjects with poor image quality or inadequate artery/vein separation from the analysis. Validation of the algorithm was performed manually by a radiologist on randomly selected subjects. In 123 subjects (men/women: 55/68), aged 59 ± 17 years, the median overlap between visual inspection and fully-automatic segmentation was 94.6% (69.2–99.9%). The median number of vessel segments in the ranges of 8–10, 6–8, 4–6, and 2–4 mm diameter was 9, 34, 134, and 797, respectively. Number of vessel segments divided by the subject's lung volume was 206 vessels/L with arteries and veins contributing almost equally. In women this vessel density was about 15% higher than in men. Median arterial and venous volumes were 1.52 and 1.54% of the lung volume, respectively. Tortuosity was best described with the sum-of-angles metric and was 142.1 rad/m (138.3–144.5 rad/m). In conclusion, our fully-automatic artery/vein separation algorithm provided reliable measures of pulmonary arteries and veins with respect to age and gender. There was a large variation between subjects in all readouts. No relevant dependence on age, gender, or vessel type was observed. These data may provide reference values for morphometric analysis of lung vessels.
topic pulmonary circulation
morphology
computed tomography
healthy reference values
automated image analysis
artery/vein separation
url http://journal.frontiersin.org/article/10.3389/fphys.2018.00346/full
work_keys_str_mv AT michaelpienn healthylungvesselmorphologyderivedfromthoraciccomputedtomography
AT carolineburgard healthylungvesselmorphologyderivedfromthoraciccomputedtomography
AT christianpayer healthylungvesselmorphologyderivedfromthoraciccomputedtomography
AT christianpayer healthylungvesselmorphologyderivedfromthoraciccomputedtomography
AT alexanderavian healthylungvesselmorphologyderivedfromthoraciccomputedtomography
AT martinurschler healthylungvesselmorphologyderivedfromthoraciccomputedtomography
AT martinurschler healthylungvesselmorphologyderivedfromthoraciccomputedtomography
AT rudolfstollberger healthylungvesselmorphologyderivedfromthoraciccomputedtomography
AT andreaolschewski healthylungvesselmorphologyderivedfromthoraciccomputedtomography
AT horstolschewski healthylungvesselmorphologyderivedfromthoraciccomputedtomography
AT horstolschewski healthylungvesselmorphologyderivedfromthoraciccomputedtomography
AT thorstenjohnson healthylungvesselmorphologyderivedfromthoraciccomputedtomography
AT felixgmeinel healthylungvesselmorphologyderivedfromthoraciccomputedtomography
AT zoltanbalint healthylungvesselmorphologyderivedfromthoraciccomputedtomography
AT zoltanbalint healthylungvesselmorphologyderivedfromthoraciccomputedtomography
_version_ 1725442044119220224