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

Autor: Marcus Stoetzer, Franz-Erich Wolter, Karl-Ingo Friese, Matthias Becker, Harald Essig, Nils-Claudius Gellrich, Majeed Rana, Juergen Thomas Lichtenstein, Maximilian E. H. Wagner
Přispěvatelé: University of Zurich, Wagner, Maximilian E H
Rok vydání: 2015
Předmět:
Male
Cone beam computed tomography
Current (mathematics)
1707 Computer Vision and Pattern Recognition
Image quality
Biomedical Engineering
2204 Biomedical Engineering
610 Medicine & health
Health Informatics
1704 Computer Graphics and Computer-Aided Design
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Atlas (anatomy)
1706 Computer Science Applications
medicine
2741 Radiology
Nuclear Medicine and Imaging

Humans
Radiology
Nuclear Medicine and imaging

Orbital Diseases
Segmentation
Closing (morphology)
2718 Health Informatics
Physics
business.industry
Reproducibility of Results
Organ Size
030206 dentistry
General Medicine
Cone-Beam Computed Tomography
Computer Graphics and Computer-Aided Design
2746 Surgery
Computer Science Applications
medicine.anatomical_structure
Female
Surgery
Computer Vision and Pattern Recognition
10069 Clinic of Cranio-Maxillofacial Surgery
Tomography
X-Ray Computed

Nuclear medicine
business
Orbit
Volume (compression)
Zdroj: International Journal of Computer Assisted Radiology and Surgery. 11:1-9
ISSN: 1861-6429
1861-6410
DOI: 10.1007/s11548-015-1228-8
Popis: 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. 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. Neither atlas-based $$(26.63 \pm 3.15\,\hbox {mm}^{3})$$ nor model-based $$(26.87 \pm 2.99\,\hbox {mm}^{3})$$ measurements were significantly different from manual volume measurements $$(26.65 \pm 4.0\,\hbox {mm}^{3})$$ . However, the time required to determine orbital volume was significantly longer for manual measurements ( $$10.24 \pm 1.21$$ min) than for atlas-based ( $$6.96 \pm 2.62$$ min, $$p < 0.001$$ ) or model-based ( $$5.73 \pm 1.12$$ min, $$p < 0.001$$ ) measurements. 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.
Databáze: OpenAIRE