ArticleInternational journal of computer assisted radiology and surgery2016
Model-based segmentation in orbital volume measurement with cone beam computed tomography and evaluation against current concepts.
Article in International journal of computer assisted radiology and surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Automated 3-D Computer-Aided Measurement of the Bony Orbit: Evaluation of Correlations among Volume, Depth, and Surface Area.Journal of personalized medicine · 2024Article
- Insights into Orbital Symmetry: A Comprehensive Retrospective Study of 372 Computed Tomography Scans.Journal of clinical medicine · 2024Article
- Comparison of the Fractured and Non-Fractured Orbit Before and After Surgery Using a Titanium Implant or a Resorbable Poly-d,l-lactic Acid (PDLLA) Implant: A Study from a Single Center in Niš, Serbia of 58 Patients with Unilateral Orbital Floor Fracture Using Volumetric Measurement.Medical science monitor : international medical journal of experimental and clinical research · 2023Article
- 3-D cephalometry of the the orbit regarding endocrine orbitopathy, exophthalmos, and sex.PloS one · 2022Article
- A deep learning method for automatic segmentation of the bony orbit in MRI and CT images.Scientific reports · 2021Article
- Autogenous bone augmentation from the zygomatic alveolar crest: a volumetric retrospective analysis in the maxilla.International journal of implant dentistry · 2020Article
- [Reconstructive orbital surgery].HNO · 2018Review
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9 authors.
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Abstract
purposeObjective 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.
methodsBoth 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.
resultsNeither 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.
conclusionAll 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.
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