Literature DB >> 26040710

Model-based segmentation in orbital volume measurement with cone beam computed tomography and evaluation against current concepts.

Maximilian E H Wagner1, Nils-Claudius Gellrich2, Karl-Ingo Friese3, Matthias Becker4, Franz-Erich Wolter3, Juergen T Lichtenstein2, Marcus Stoetzer2, Majeed Rana2, Harald Essig5.   

Abstract

PURPOSE: Objective determination of the orbital volume is important in the diagnostic process and in evaluating the efficacy of medical and/or surgical treatment of orbital diseases. Tools designed to measure orbital volume with computed tomography (CT) often cannot be used with cone beam CT (CBCT) because of inferior tissue representation, although CBCT has the benefit of greater availability and lower patient radiation exposure. Therefore, a model-based segmentation technique is presented as a new method for measuring orbital volume and compared to alternative techniques.
METHODS: Both eyes from thirty subjects with no known orbital pathology who had undergone CBCT as a part of routine care were evaluated (n = 60 eyes). Orbital volume was measured with manual, atlas-based, and model-based segmentation methods. Volume measurements, volume determination time, and usability were compared between the three methods. Differences in means were tested for statistical significance using two-tailed Student's t tests.
RESULTS: Neither atlas-based (26.63 ± 3.15 mm(3)) nor model-based (26.87 ± 2.99 mm(3)) measurements were significantly different from manual volume measurements (26.65 ± 4.0 mm(3)). However, the time required to determine orbital volume was significantly longer for manual measurements (10.24 ± 1.21 min) than for atlas-based (6.96 ± 2.62 min, p < 0.001) or model-based (5.73 ± 1.12 min, p < 0.001) measurements.
CONCLUSION: All three orbital volume measurement methods examined can accurately measure orbital volume, although atlas-based and model-based methods seem to be more user-friendly and less time-consuming. The new model-based technique achieves fully automated segmentation results, whereas all atlas-based segmentations at least required manipulations to the anterior closing. Additionally, model-based segmentation can provide reliable orbital volume measurements when CT image quality is poor.

Entities:  

Keywords:  Cone beam computed tomography; Model segmentation; Orbital volume; Pseudoforamina

Mesh:

Year:  2015        PMID: 26040710     DOI: 10.1007/s11548-015-1228-8

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  30 in total

1.  Volumetric analysis of CT orbital images.

Authors:  L Lutzemberger; O Salvetti
Journal:  Med Biol Eng Comput       Date:  1998-11       Impact factor: 2.602

2.  Computer-assisted reconstruction of orbital floor based on cone beam tomography.

Authors:  Christoph Zizelmann; Nils Claudius Gellrich; Marc Christian Metzger; Ralf Schoen; Rainer Schmelzeisen; Alexander Schramm
Journal:  Br J Oral Maxillofac Surg       Date:  2005-08-10       Impact factor: 1.651

3.  Geometric accuracy of a newly developed cone-beam device for maxillofacial imaging.

Authors:  Robert A Mischkowski; Reinhard Pulsfort; Lutz Ritter; Jörg Neugebauer; Hans Georg Brochhagen; Erwin Keeve; Joachim E Zöller
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod       Date:  2007-07-05

4.  Orbital volume and surface after Le Fort III advancement in syndromic craniosynostosis.

Authors:  Felice Festa; Mario Pagnoni; Ramieri Valerio; Daria Rodolfino; Matteo Saccucci; Michele d'Attilio; Sergio Caputi; Giorgio Iannetti
Journal:  J Craniofac Surg       Date:  2012-05       Impact factor: 1.046

5.  CT assessment of orbital volume in late post-traumatic enophthalmos.

Authors:  B Schuknecht; F Carls; A Valavanis; H F Sailer
Journal:  Neuroradiology       Date:  1996-07       Impact factor: 2.804

6.  Design and development of a virtual anatomic atlas of the human skull for automatic segmentation in computer-assisted surgery, preoperative planning, and navigation.

Authors:  M C Metzger; G Bittermann; L Dannenberg; R Schmelzeisen; N-C Gellrich; B Hohlweg-Majert; C Scheifele
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-02-17       Impact factor: 2.924

7.  Studies on enophthalmos: II. The measurement of orbital injuries and their treatment by quantitative computed tomography.

Authors:  P N Manson; A Grivas; A Rosenbaum; M Vannier; J Zinreich; N Iliff
Journal:  Plast Reconstr Surg       Date:  1986-02       Impact factor: 4.730

8.  Prediction of enophthalmos by computed tomography after 'blow out' orbital fracture.

Authors:  R W Whitehouse; M Batterbury; A Jackson; J L Noble
Journal:  Br J Ophthalmol       Date:  1994-08       Impact factor: 4.638

9.  Changes in orbital volume during childhood in cases of craniosynostosis.

Authors:  Robert P Bentley; Spyros Sgouros; Kalyan Natarajan; M Stephen Dover; Anthony D Hockley
Journal:  J Neurosurg       Date:  2002-04       Impact factor: 5.115

10.  Measurement of orbital volume after enucleation and orbital implantation.

Authors:  Olga Lukats; Tamas Vízkelety; Zsolt Markella; Erika Maka; Maria Kiss; Adrienn Dobai; Peter Bujtár; Attila Szucs; Jozsef Barabas
Journal:  PLoS One       Date:  2012-12-06       Impact factor: 3.240

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  3 in total

Review 1.  [Reconstructive orbital surgery].

Authors:  M E H Wagner; H Essig; M Rücker; T Gander
Journal:  HNO       Date:  2018-11       Impact factor: 1.284

2.  A deep learning method for automatic segmentation of the bony orbit in MRI and CT images.

Authors:  Jared Hamwood; Beat Schmutz; Michael J Collins; Mark C Allenby; David Alonso-Caneiro
Journal:  Sci Rep       Date:  2021-07-01       Impact factor: 4.379

3.  3-D cephalometry of the the orbit regarding endocrine orbitopathy, exophthalmos, and sex.

Authors:  Konstantin Volker Hierl; Matthias Krause; Daniel Kruber; Ina Sterker
Journal:  PLoS One       Date:  2022-03-11       Impact factor: 3.240

  3 in total

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