Become a leader in orbital fracture analysis with Disior
In orbital fractures, a thorough clinical examination is important. Reliable diagnostics are needed to make a well-founded decision about whether to operate or not. Great demands are put on the accuracy of the data, and on getting detailed information about the bony structures.
Orbital volume measurement methods today are cumbersome to use, and typically require manual correction of segmentation and anterior closing. (1)
Disior modelling technology takes the next step from visual assessment and manual measuring of the orbital volume and shape. The algorithms track the area of interest for you, and use pre-set reference points for consistent, automated measurements.
Orbital volume measurement methods today are cumbersome to use, and typically require manual correction of segmentation and anterior closing. (1)
Disior modelling technology takes the next step from visual assessment and manual measuring of the orbital volume and shape. The algorithms track the area of interest for you, and use pre-set reference points for consistent, automated measurements.
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Consistent, fast and accurate image analysis
Objective data for diagnosis and treatment planning – automatically analysed shape and size of fracture with area, volume and collapse Mathematical models for 3D printing and implant design Quantitative treatment guidelines – software as a platform to systematically collect analyses over clinics We work with university hospitals and clinics on medical research projects |
Bonelogic CMF Orbital software is available as a CE-marked and a research version.
System Requirements
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• Standard Laptop or Desktop PC with Windows 10
• Dedicated Graphics Card with 1 GB of memory • Secure internet connection to Disior Cloud |
• 8 GB RAM
• Minimum 1 GB Hard Drive |
(1) Wagner et al.: Model-based segmentation in orbital volume measurement with cone beam computed tomography and evaluation against current concepts. International Journal of Computer Assisted Radiology and Surgery. January 2016, Volume 11, Issue 1, pp 1–9.
