Method of Individual Adjustment for 3D CT Analysis: Linear Measurement

Biomed Res Int. 2016:2016:6893072. doi: 10.1155/2016/6893072. Epub 2016 Dec 13.


Introduction. We aim to regularize measurement values in three-dimensional (3D) computed tomography (CT) reconstructed images for higher-precision 3D analysis, focusing on length-based 3D cephalometric examinations. Methods. We measure the linear distances between points on different skull models using Vernier calipers (real values). We use 10 differently tilted CT scans for 3D CT reconstruction of the models and measure the same linear distances from the picture archiving and communication system (PACS). In both cases, each measurement is performed three times by three doctors, yielding nine measurements. The real values are compared with the PACS values. Each PACS measurement is revised based on the display field of view (DFOV) values and compared with the real values. Results. The real values and the PACS measurement changes according to tilt value have no significant correlations (p > 0.05). However, significant correlations appear between the real values and DFOV-adjusted PACS measurements (p < 0.001). Hence, we obtain a correlation expression that can yield real physical values from PACS measurements. The DFOV value intervals for various age groups are also verified. Conclusion. Precise confirmation of individual preoperative length and precise analysis of postoperative improvements through 3D analysis is possible, which is helpful for facial-bone-surgery symmetry correction.

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Cephalometry
  • Child
  • Child, Preschool
  • Humans
  • Imaging, Three-Dimensional / methods*
  • Infant
  • Infant, Newborn
  • Linear Models
  • Models, Anatomic
  • Radiographic Image Interpretation, Computer-Assisted / methods*
  • Regression Analysis
  • Reproducibility of Results
  • Skull / diagnostic imaging
  • Titanium / chemistry
  • Tomography, X-Ray Computed / methods*


  • Titanium