Computed Tomography and a Dental Intraoral Scanner to Generate Three-Dimensional Models of the Beaks of Three Bird Species

This study aimed to assess the beaks of Neotropical birds using two scanning techniques-CT and a dental intraoral scanner-along with macroscopic analysis. Six specimens per family were selected, including parakeets, red-legged seriemas, and black vultures. The upper beaks were measured in the CT sagittal view for length along the longitudinal axis and height on the transverse axis. The same measurements were performed on the 3D images. Additionally, beak width in the middle of the <i>naris</i> area, as well as the length and height of the <i>nares</i>, were measured on the 3D images. The closed polygon tool outlined the beak, generating volume in cm<sup>2</sup>. The 3D images obtained with the dental scanner were measured, similarly to those from 3D-CT scans for the beaks' length, height, and width. Macroscopic measurements of the beaks were also conducted. Some differences in beak measurements between imaging methods were verified. In conclusion, both techniques are effective, but CT provides more detailed information. The combination of both methods would be ideal for developing and applying beak prostheses.

Authors

Institutions

Publication Details

Journal
Veterinary Sciences
Published
2025-04-03
DOI
https://doi.org/10.3390/vetsci12040331
Primary Topic
Bird parasitology and diseases
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Computed Tomography and a Dental Intraoral Scanner to Generate Three-Dimensional Models of the Beaks of Three Bird Species

Ricardo Shoiti Ichikawa, Sheila Canevese Rahal, Jeana Pereira da Silva, Daniel Simões da Silva et al.
Veterinary Sciences
Bird parasitology and diseases
article

Computed Tomography and a Dental Intraoral Scanner to Generate Three-Dimensional Models of the Beaks of Three Bird Species

Ricardo Shoiti Ichikawa, Sheila Canevese Rahal, Jeana Pereira da Silva, Daniel Simões da Silva, Reinaldo Abdala Júnior, Maria Cristina Reis Castiglioni, Gabriel Corrêa de Camargo, Bruno Critelli Carvalho
article en

Abstract

This study aimed to assess the beaks of Neotropical birds using two scanning techniques-CT and a dental intraoral scanner-along with macroscopic analysis. Six specimens per family were selected, including parakeets, red-legged seriemas, and black vultures. The upper beaks were measured in the CT sagittal view for length along the longitudinal axis and height on the transverse axis. The same measurements were performed on the 3D images. Additionally, beak width in the middle of the <i>naris</i> area, as well as the length and height of the <i>nares</i>, were measured on the 3D images. The closed polygon tool outlined the beak, generating volume in cm<sup>2</sup>. The 3D images obtained with the dental scanner were measured, similarly to those from 3D-CT scans for the beaks' length, height, and width. Macroscopic measurements of the beaks were also conducted. Some differences in beak measurements between imaging methods were verified. In conclusion, both techniques are effective, but CT provides more detailed information. The combination of both methods would be ideal for developing and applying beak prostheses.

Veterinary SciencesVol. 12(4)
Universidade de Sorocaba (BR), Universidade Estadual Paulista (Unesp) (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Financiadora de Estudos e Projetos
Openalex Percentile: Top 93%
Bird parasitology and diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.