J Korean Ophthalmol Soc.  2015 Feb;56(2):168-173. 10.3341/jkos.2015.56.2.168.

Measurement of Orbital Volume from Facial CT Scans Using a Semi-Automatic Computer Program

Affiliations
  • 1Department of Ophthalmology, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul, Korea. pbloadsky@naver.com
  • 2Department of Ophthalmology, Kyung Hee University Medical Center, Kyung Hee University School of Medicine, Seoul, Korea.
  • 3Department of Bioengineering, Kyung Hee University School of Medicine, Seoul, Korea.

Abstract

PURPOSE
To measure the orbital volume from facial CT scans using a semi-automatic computer program.
METHODS
Axial and coronal slices of 35 facial CT scans were used to measure the orbital volume. The cross-sectional area was determined from each slice using a semi-automated computer program (MATLAB 2009a). Next, the orbital volume was calculated from serial reconstruction of the cross-sections.
RESULTS
The measured value in males was 26.34 +/- 3.09 cm3 in the right orbit and 26.30 +/- 3.21 cm3 in the left orbit from axial scans, and 26.58 +/- 2.76 cm3 in the right orbit and 26.59 +/- 2.75 cm3 in the left orbit from coronal scans. In females, the values were 23.84 +/- 2.29 cm3 in the right orbit and 23.89 +/- 2.33 cm3 in the left orbit from axial scans, and 24.06 +/- 2.90 cm3 in the right orbit and 24.10 +/- 2.82 cm3 in the left orbit from coronal scans. There was high positive correlation (r = +0.832, p = 0.0001) in measured orbital volume between axial and coronal scans.
CONCLUSIONS
The orbital volume measurement from facial CT scans using a semi-automatic computer program is very useful. This method should prove useful in further studies examining the correlation of orbital volume variation in many ophthalmologic disorders.

Keyword

Facial CT; Orbital volume; Volume measurement

MeSH Terms

Female
Humans
Male
Orbit*
Tomography, X-Ray Computed*

Figure

  • Figure 1. The simplified photographs by the algorithm of the computer program from axial scans (A) and from coronal scans (B).

  • Figure 2. The process of measurement of cross-sectional areas from axial scans (A) and from coronal scans (B). The white arrows are the straight line traced by the examiner. The seed points are remarked with black arrows and the results of automated measurement are remarked with the asterisks.

  • Figure 3. The correlation of measured orbital volume from axial scans with from coronal scans.

  • Figure 4. Automatic outlining of regions. (A) Example data, (B) setting the seed point at the checked ‘9’, and then automatically including the higher numbers around the seed point, (C) different result of the algorithm as setting different seed point checked ‘11’.


Reference

References

1. Phillips PH. The orbit. Ophthalmol Clin North Am. 2001; 14:109–27. viii.
2. Cooper WC. A method for volume determination of the orbit and its contents by high resolution axial tomography and quantitative digital image analysis. Trans Am Ophthalmol Soc. 1985; 83:546–609.
3. Forbes G, Gehring DG, Gorman CA. . Volume measurements of normal orbital structures by computed tomographic analysis. AJR Am J Roentgenol. 1985; 145:149–54.
Article
4. Kwon J, Barrera JE, Most SP. Comparative computation of orbital volume from axial and coronal CT using three-dimensional image analysis. Ophthal Plast Reconstr Surg. 2010; 26:26–9.
Article
5. Bite U, Jackson IT, Forbes GS, Gehring DG. Orbital volume measurements in enophthalmos using three-dimensional CT imaging. Plast Reconstr Surg. 1985; 75:502–8.
Article
6. Kim TH, Jun HS, Byun YJ. The normal value of adult Korean orbital volume in three-dimensional computerized tomography. J Korean Ophthalmol Soc. 2001; 42:1011–5.
7. Byun YG, Kim YI. High resolution satellite image segmentation algorithm development using seed-based region growing. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography. 2010; 28:421–30.
8. Hojjatoleslami SA, Kittler J. Region growing: a new approach. IEEE Trans Image Process. 1998; 7:1079–84.
Article
9. Leymarie F, Levine MD. Tracking deformable objects in the plane using an active contour model. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 1993; 15:617–34.
Article
10. Xu C, Prince JL. Snakes, shapes, and gradient vector flow. IEEE Trans Image Process. 1998; 7:359–69.
11. Ramieri G, Spada MC, Bianchi SD, Berrone S. Dimensions and volumes of the orbit and orbital fat in posttraumatic enophthalmos. Dentomaxillofac Radiol. 2000; 29:302–11.
Article
12. Furuta M. Measurement of orbital volume by computed tomography: especially on the growth of the orbit. Jpn J Ophthalmol. 2001; 45:600–6.
Article
13. Forbes G, Gorman CA, Gehring D, Baker HL Jr. Computer analysis of orbital fat and muscle volumes in Graves ophthalmopathy. AJNR Am J Neuroradiol. 1983; 4:737–40.
14. Chapter 32 Embryology and Anatomy of the Orbit and Lacrimal System. Tasman W, Jaeger EA, editors. Duane's Ophthalmology. Lippincott/Williams & Wilkins;2007.
15. Acer N, Sahin B, Ergür H. . Stereological estimation of the orbital volume: a criterion standard study. J Craniofac Surg. 2009; 20:921–5.
16. Trokel SL, Jakobiec FA. Correlation of CT scanning and pathologic features of ophthalmic Graves' disease. Ophthalmology. 1981; 88:553–64.
Article
17. Whitehouse RW, Jackson A. Measurement of orbital volumes following trauma using lowdose computed tomography. Eur Radiol. 1993; 3:145–9.
Article
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