MDCT-based quantification of porcine pulmonary arterial morphometry and self-similarity of arterial branching geometry

Yik Ching Lee; Alys R Clark; Matthew K Fuld; Susan Haynes; Abhay A Divekar; Eric A Hoffman; Merryn H Tawhai

doi:10.1152/japplphysiol.00868.2012

Back

MDCT-based quantification of porcine pulmonary arterial morphometry and self-similarity of arterial branching geometry

Journal article

Open access

Peer reviewed

MDCT-based quantification of porcine pulmonary arterial morphometry and self-similarity of arterial branching geometry

Yik Ching Lee, Alys R Clark, Matthew K Fuld, Susan Haynes, Abhay A Divekar, Eric A Hoffman and Merryn H Tawhai

Journal of applied physiology (1985), Vol.114(9), pp.1191-1201

05/01/2013

DOI: 10.1152/japplphysiol.00868.2012

PMCID: PMC4074002

PMID: 23449941

Files and links (1)

url

https://doi.org/10.1152/japplphysiol.00868.2012View

Published (Version of record) Open Access

Abstract

The pig is frequently used as an experimental model for studies of the pulmonary circulation, yet the branching and dimensional geometry of the porcine pulmonary vasculature remains poorly defined. The purposes of this study are to improve the geometric definition of the porcine pulmonary arteries and to determine whether the arterial tree exhibits self-similarity in its branching geometry. Five animals were imaged using thin slice spiral computed tomography in the prone posture during airway inflation pressure at 25 cmH 2 O. The luminal diameter and distance from the inlet of the left and right pulmonary arteries were measured along the left and right main arterial pathway in each lung of each animal. A further six minor pathways were measured in a single animal. The similarity in the rate of reduction of diameter with distance of all minor pathways and the two main pathways, along with similarity in the number of branches arising along the pathways, supports self-similarity in the arterial tree. The rate of reduction in diameter with distance from the inlet was not significantly different among the five animals ( P > 0.48) when normalized for main pulmonary artery diameter and total main artery pathlength, which supports intersubject similarity. Other metrics to quantify the tree geometry are strikingly similar to those from airways of other quadrupeds, with the exception of a significantly larger length to diameter ratio, which is more appropriate for the vascular tree. A simplifying self-similar model for the porcine pulmonary arteries is proposed to capture the important geometric features of the arterial tree.

pulmonary arterial diameter

self-similarity

pulmonary vascular geometric measurements

porcine model

in vivo volumetric MDCT imaging

Details

Title: Subtitle: MDCT-based quantification of porcine pulmonary arterial morphometry and self-similarity of arterial branching geometry
Creators: Yik Ching Lee - Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand
Alys R Clark - Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand
Matthew K Fuld - Department of Radiology, University of Iowa, Iowa City, Iowa; and
Susan Haynes - Department of Pediatrics, Division of Pediatric Cardiology, University of Iowa, Iowa City, Iowa
Abhay A Divekar - Department of Pediatrics, Division of Pediatric Cardiology, University of Iowa, Iowa City, Iowa
Eric A Hoffman - Department of Radiology, University of Iowa, Iowa City, Iowa; and
Merryn H Tawhai - Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand
Resource Type: Journal article
Publication Details: Journal of applied physiology (1985), Vol.114(9), pp.1191-1201
DOI: 10.1152/japplphysiol.00868.2012
PMID: 23449941
PMCID: PMC4074002
NLM abbreviation: J Appl Physiol (1985)
ISSN: 8750-7587
eISSN: 1522-1601
Publisher: American Physiological Society; Bethesda, MD
Language: English
Date published: 05/01/2013
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Stead Family Department of Pediatrics; Internal Medicine
Record Identifier: 9984051874502771

Metrics

26 Record Views

11 Times Cited - Web of Science