Computed tomography reconstruction and morphometric analysis of the humerus and femur in new zealand rabbits
<b>Aim:</b> This study was carried out to create three-dimensional (3D) models of the humerus and femur using computed tomography (CT) images of the New Zealand rabbit and to reveal whether there are differences between sexes and the right and left sides.<p> <b>Materials and...
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Main Author: | |
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Format: | Article |
Language: | English |
Published: |
Selcuk University Press
2023-12-01
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Series: | Eurasian Journal of Veterinary Sciences |
Subjects: | |
Online Access: | http://eurasianjvetsci.org/pdf.php3?id=1434 |
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Summary: | <b>Aim:</b> This study was carried out to create three-dimensional (3D) models of
the humerus and femur using computed tomography (CT) images of the New
Zealand rabbit and to reveal whether there are differences between sexes and
the right and left sides.<p>
<b>Materials and Methods:</b> The study was applied on 14 month old (10 male
and 10 female) New Zealand rabbits. First, 0.5 mm thick images of the animals
were taken by computed tomography (CT) and saved in DICOM format. Then,
3D models of the humerus and femur were obtained by reconstructing the
images with the MIMICS 20.1 program. Morphometric data were obtained
from the obtained 3D model. After this procedure, the rabbits were dissected
and the weights of the humerus and femur were measured.<p>
<b>Results:</b> It was determined that the right humerus and femur volume and
surface area in male rabbits were larger from the left side (p<0.05). There was
no difference between the other morphometric values examined and rabbit
bones did not show homotypic variation. In addition, it was thought that the
humerus and femur bones could not be used to determine gender because the
differences between the sexes were insignificant.<p>
<b>Conclusion:</b> It was thought that this study would provide the basis for studies
and experimental models on rabbits by revealing the morphological features
of the humerus and femur and would help the physician in the diagnosis of
diseases by forming the basis of the data obtained with the imaging systems
used in the clinical field. |
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ISSN: | 1309-6958 2146-1953 |