Published September 2012 | Version v1
Journal article

Development of 3D statistical mandible models for cephalometric measurements

  • 1. School of Dentistry, Seoul National University, Seoul (Korea, Republic of)
  • 2. Division of Multimedia Engineering, Seoul Women's University, Seoul (Korea, Republic of)

Description

The aim of this study was to provide sex-matched three-dimensional (3D) statistical shape models of the mandible, which would provide cephalometric parameters for 3D treatment planning and cephalometric measurements in orthognathic surgery. The subjects used to create the 3D shape models of the mandible included 23 males and 23 females. The mandibles were segmented semi-automatically from 3D facial CT images. Each individual mandible shape was reconstructed as a 3D surface model, which was parameterized to establish correspondence between different individual surfaces. The principal component analysis (PCA) applied to all mandible shapes produced a mean model and characteristic models of variation. The cephalometric parameters were measured directly from the mean models to evaluate the 3D shape models. The means of the measured parameters were compared with those from other conventional studies. The male and female 3D statistical mean models were developed from 23 individual mandibles, respectively. The male and female characteristic shapes of variation produced by PCA showed a large variability included in the individual mandibles. The cephalometric measurements from the developed models were very close to those from some conventional studies. We described the construction of 3D mandibular shape models and presented the application of the 3D mandibular template in cephalometric measurements. Optimal reference models determined from variations produced by PCA could be used for craniofacial patients with various types of skeletal shape.

Additional details

Publishing Information

Journal Title
Imaging Science in Dentistry
Journal Volume
42
Journal Issue
3
Series
23 refs, 8 figs, 2 tabs
Journal Page Range
p. 175-182
ISSN
2233-7822

INIS

Country of Publication
Korea, Republic of
Country of Input or Organization
Korea, Republic of
INIS RN
44038741
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
COMPUTERIZED TOMOGRAPHY; JAW; PATIENTS; SKELETON; SURGERY
Descriptors DEC
BODY; DIAGNOSTIC TECHNIQUES; MEDICINE; ORGANS; SKELETON; SKULL; TOMOGRAPHY