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Sagittal cranial projections dataset extracted from CBCT volumes corrected to natural head position in a mixed ethnicity population.
Sánchez, Carlos Andrés Ferro; Laverde, Cristian Orlando Diaz; Rodríguez, Sandra Esperanza Nope; Aristizábal, Juan Fernando; Salazar, Oscar Iván Campo.
Affiliation
  • Sánchez CAF; Faculty of Engineering, Universidad Autónoma de Occidente, Cali, Colombia.
  • Laverde COD; Health Faculty, Universidad del Valle, Cali, Colombia.
  • Rodríguez SEN; Escuela de Ingeniería Eléctrica y Electrónica (EIEE), Facultad de Ingeniería, Universidad del Valle, Colombia.
  • Aristizábal JF; Health Faculty, Universidad del Valle, Cali, Colombia.
  • Salazar OIC; Faculty of Engineering, Universidad Autónoma de Occidente, Cali, Colombia.
Data Brief ; 55: 110622, 2024 Aug.
Article in En | MEDLINE | ID: mdl-39040549
ABSTRACT
This dataset features 200 sagittal projection images derived from Cone Beam Computed Tomography (CBCT) scans, corrected according to the Natural Head Position (NHP) guidelines proposed by Fredrik Lundström and Anders Lundström. The images originate from orthodontic patients in Cali, Valle del Cauca, Colombia, encompassing both initial phases and ongoing treatments. The dataset is divided into two groups 100 images from female subjects (CoF) and 100 from male subjects (CoM), facilitating gender-specific studies. The dataset is accompanied by an Excel file ``Data info.xlsx'' that details the rotation angles in the axial (Yaw), coronal (Roll), and sagittal (Pitch) planes, along with the pixel size and image dimensions. This detailed documentation supports the replication of studies and aids in the interpretation of cephalometric analyses. Corrections made to align the images with NHP standards involve adjustments in the three main anatomical planes using points from the frontozygomatic suture (Fz) in the axial and coronal planes, and sella (S) and nasion (N) for the sagittal plane.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Data Brief Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Data Brief Year: 2024 Document type: Article Affiliation country: Country of publication: