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. 2016 Sep;6(4):203.
doi: 10.4172/2155-9538.1000203. Epub 2016 Sep 15.

Generation of Pig Airways using Rules Developed from the Measurements of Physical Airways

Affiliations

Generation of Pig Airways using Rules Developed from the Measurements of Physical Airways

Md Khurshidul Azad et al. J Bioeng Biomed Sci. 2016 Sep.

Abstract

Background: A method for generating bronchial tree would be helpful when constructing models of the tree for benchtop experiments as well as for numerical modeling of flow or sound propagation in the airways. Early studies documented the geometric details of the human airways that were used to develop methods for generating human airway tree. However, methods for generating animal airway tree are scarcer. Earlier studies suggested that the morphology of animal airways can be significantly different from that of humans. Hence, using algorithms for the human airways may not be accurate in generating models of animal airway geometry.

Objective: The objective of this study is to develop an algorithm for generating pig airway tree based on the geometric details extracted from the physical measurements.

Methods: In the current study, measured values of branch diameters, lengths and bifurcation angles and rotation of bifurcating planes were used to develop an algorithm that is capable of generating a realistic pig airway tree.

Results: The generation relations between parent and daughter branches were found to follow certain trends. The diameters and the length of different branches were dependent on airway generations while the bifurcation angles were primarily dependent on bifurcation plane rotations. These relations were sufficient to develop rules for generating a model of the pig large airways.

Conclusion: The results suggested that the airway tree generated from the algorithm can provide an approximate geometric model of pig airways for computational and benchtop studies.

Keywords: Airway tree; Algorithm; Bifurcating plane; Generation; Pig.

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Conflict of interest statement

Conflicts of Interest: The authors declare no conflict of interest.

Figures

Figure 1a
Figure 1a
Delta (in-plane) vs Parent Airway Generation.
Figure 1b
Figure 1b
Delta (out-of-plane) vs Parent Airway Generation.
Figure 2
Figure 2
Delta 1 vs Parent Airway Generation.
Figure 3
Figure 3
Parent and daughter branches along with their direction vectors.
Figure 4
Figure 4
Pig airway tree generation algorithm.
Figure 5
Figure 5
Pig airways tree generated from the algorithm (a) anterior view showing the in-plane branching (b) lateral view showing the out-of-plane branching.
Figure 6
Figure 6
Pig airways that were extracted from CT images using automatic and manual segmentation. The airways are viewed from the anterior side [29-31].

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