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Ahead of Print
ORIGINAL ARTICLES
Published online: 2019-07-02
Submitted: 2019-05-10
Accepted: 2019-06-21
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Volumetric analysis of the cranial and nasal cavity from micro-computed tomography scans in the rabbit

Caner Bakıcı, Remzı Orkun Akgun, Okan Ekım, Cıgdem Soydal, Cagdas Oto
DOI: 10.5603/FM.a2019.0073

open access

Ahead of Print
ORIGINAL ARTICLES
Published online: 2019-07-02
Submitted: 2019-05-10
Accepted: 2019-06-21

Abstract

Background: The aim of the study was to estimate the volume values of the cranial cavity and nasal cavity structures and to compare the efficiency of manual segmentation of three dimensional (3D) reconstruction and Cavalieri’s principle (CP) methodologies.

Materials and methods: Volume values of the cranial cavity (CC), maxillary sinus (MS), dorsal conchal sinus (DCS), dorsal nasal meatus (DNM), middle nasal meatus (MNM), ventral nasal meatus (VNM), ventral nasal concha (VNC), middle nasal concha (MNC) and nasal vestibule (NV) were estimated with manual segmentation and Cavalieri’s principle from micro-computed tomography (µCT) images in five male New Zealand white rabbits. Volume measurements and elapsed time were compared with each other. 3D reconstruction models of nasal and cranial cavity structures were created.

Results: There was a statistically significant difference between methods of the MS, DCS, DNM, MNM, VNM, VNC, and MNC volume measurements. Additionally, there was a statistically significant difference between the volumetric analysis time period of the methods and Cavalieri’s principle was found much shorter than manual segmentation.

Conclusions: Realistic results were achieved in a short time with the Cavalieri principle among the Stereology methods. It is thought that these image and quantitative data results can be used for modeling, toxicology and pathology studies such as acute and chronic rhinitis or rhino sinusitis as well as a good understanding of the relationship of the anatomical structures in the nasal cavity.

Abstract

Background: The aim of the study was to estimate the volume values of the cranial cavity and nasal cavity structures and to compare the efficiency of manual segmentation of three dimensional (3D) reconstruction and Cavalieri’s principle (CP) methodologies.

Materials and methods: Volume values of the cranial cavity (CC), maxillary sinus (MS), dorsal conchal sinus (DCS), dorsal nasal meatus (DNM), middle nasal meatus (MNM), ventral nasal meatus (VNM), ventral nasal concha (VNC), middle nasal concha (MNC) and nasal vestibule (NV) were estimated with manual segmentation and Cavalieri’s principle from micro-computed tomography (µCT) images in five male New Zealand white rabbits. Volume measurements and elapsed time were compared with each other. 3D reconstruction models of nasal and cranial cavity structures were created.

Results: There was a statistically significant difference between methods of the MS, DCS, DNM, MNM, VNM, VNC, and MNC volume measurements. Additionally, there was a statistically significant difference between the volumetric analysis time period of the methods and Cavalieri’s principle was found much shorter than manual segmentation.

Conclusions: Realistic results were achieved in a short time with the Cavalieri principle among the Stereology methods. It is thought that these image and quantitative data results can be used for modeling, toxicology and pathology studies such as acute and chronic rhinitis or rhino sinusitis as well as a good understanding of the relationship of the anatomical structures in the nasal cavity.

Get Citation

Keywords

Cavalieri’s principle, volume analysis, micro-computed tomography, New Zealand white rabbit, paranasal sinus, concha, meatus

About this article
Title

Volumetric analysis of the cranial and nasal cavity from micro-computed tomography scans in the rabbit

Journal

Folia Morphologica

Issue

Ahead of Print

Published online

2019-07-02

DOI

10.5603/FM.a2019.0073

Keywords

Cavalieri’s principle
volume analysis
micro-computed tomography
New Zealand white rabbit
paranasal sinus
concha
meatus

Authors

Caner Bakıcı
Remzı Orkun Akgun
Okan Ekım
Cıgdem Soydal
Cagdas Oto

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