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Orion - a new standard in OCT segmentation software.


Device-independent 8 retinal layer segmentation software.

Voxeleron is pleased to offer OrionTM, advanced optical coherence tomography (OCT) analysis software for research use only*.  Orion is fully-automated software, rapidly and accurately segmenting up to eight retinal layers in OCT images.

See Orion in action. Find out what people think.  |  Find associated literature. | And learn about work-flow advantages.

The limited functionality of existing OCT analysis tools has meant that only two or three retinal layers are analyzed, despite the overwhelming evidence for the clinical importance of the inner retinal layers in disease detection and prognosis.  Orion addresses exactly this technology gap, providing researchers much needed biomarkers for the early detection and prognosis of ocular and neurological diseases.

Orion is a fully automated research tool designed to rapidly and accurately segment eight retinal layers in OCT images, which, at the time of its initial release it was voted as one of the year’s best innovations in the Ophthalmologist.  In the years since it has evolved into the most powerful OCT analysis tool available, with proven best in class performance.  It has also evolved to being entirely platform independent – truly vendor neutral – and processes data from all the main OCT scanners in all of their formats.  It provides a comprehensive tool for quantifying retinal thickness in the human retina accurately and quickly.  Orion has been validated in two separate studies, and thoroughly beta tested at a number of clinical sites around the world.

As well as unrivaled image format support, Orion has a comprehensive set of features, including 3d visualization, layer editing wizards, angiography support, batch processing, 2d image segmentation, fundus import and alignment tools, change (longitudinal) and region of interest (ROI) analysis.  Image data and results can be saved to standard DICOM for integration in existing IT infrastructures, facilitating the ability to standardize ophthalmic formats used in mulit-center trials.  It also interfaces to iNebulaTM, our cloud-based clinical trial management software.

*Please note: Orion has not been approved for clinical use.  It is a research tool, and may not be used to support the treatment or diagnosis of human patients.

Angio Example 25067B
Orion's automated analyses support structural and functional biomarkers. Here an avascular region in the choriocapillaris is shown. this is defined over a depth of 15 microns from the RPE-Baseline (Bruch's). Areas of non-perfusion in the capillary network (superficial or deep) are of particular interest in a variety of ocular diseases, most notably in diabetic retinopathy, a microvasculopathy characterized by vascular permeability, microvasculature leaks and early loss of capillaries.

A window to the brain

Five million Americans suffer from Alzheimer’s disease, one million from Parkinson’s, 30,000 from amyotrophic lateral sclerosis (ALS), and it is estimated that 400,000 (1999) Americans are taken early from the workforce due to multiple sclerosis (MS), a disease whose onset afflicts younger populations.  As an extension of the central nervous system, the health of the retina is closely tied to the health of the brain.  Early work studying deeper layers of the retina has shown potential for early detection and accurate diagnosis or some of the most debilitating neurological diseases.  A number of recent studies have tied retinal layer thicknesses to an increasing number of pathologies, including:

Updated Reference Table
Summary findings of disease and affected retinal layers.

Early detection of these diseases can offer a number of potential interventional options and clinical endpoints.  Orion is unique in offering the ability to isolate and quantify these layers, empowering fundamental clinical research.  For further details please email us at orion@voxeleron.com, or to see Orion in action, visit our video tutorials webpage.

Orion Screen Shot Aon
Screenshot of 8 retinal layer segmentation with Orion. Despite the inflammation the ganglion cell complex is accurately segmented.
Latest Pp Display Page
Screenshot of the peripapillary segmentation page, featuring the at a glance thickness map.
Orion Drusen
Using the RPE-baseline's segmentation of Bruch's, it is possible to quantify RPE elevation volume as seen in the data.
Orion Editing Wizard
With Orion's intelligent editing wizard, surfaces may be edited or indeed added in seconds.
Drusen Dynamics 2
Change map shows and quantifies the dynamic nature of the druse relative to the baseline scan.

Orion’s Roadmap

Future releases are coming as we have an extensive product roadmap!  We introduced a deep-learning based approach to B-scan abnormality detection at 2017’s ARVO and added more widespread support for angiography quantification at 2019’s ARVO meeting as well as deep learning-based segmentation of the choroid (see this link for details).  2018 saw the release of a comprehensive suite of change analysis tools, which features fully automated alignment (snapshot of the analysis page is shown above), a project that was fully supported by the NIH in the form of an SBIR grant. In addition to that, Orion offers a number of significant workflow advantages that are a boon to clinical research.  Indeed, no other software offering comes close to matching the quality or breadth of the features delivered in Orion, so regardless of the OCT instrument you use for your research (as we support them all), do get in touch to request a demonstration or a trial version of the software.  And did we mention that we will see yet more deep learning-based methods, including fluid segmentation and quantification (example figure below), given the release of the ideal support platform iNebula?

Choroid Integrated In Orion Large
Orion now includes automated choroid segmentation that, using deep-learning, is either CPU- or GPU-based.
Figure8A Scaled
Following on from our work presented at ARVOs 2017 through 2019, we continue to expand out AI offerings, including semantic segmentation and predictive analytics. Scheduled for release is OCT fluid segmentation, here showing cases of inner- and sub-retinal as well as PED segmentations in wet-AMD. The above shows input OCT images (A,B,C,D), manual segmentations (E,F,G,H) and Voxeleron's automated segmentations (I,J,K,L).

Watch this space for further updates (or even easier, just sign up below)!

Orion Information List Signup


  1. Marziani E. et al. Evaluation of retinal nerve fiber layer and ganglion cell layer thickness in Alzheimer’s disease using spectral-domain optical coherence tomography. Invest. Ophthalmol. Vis. Sci. August 6, 2013.
  2. Chang et al., Program No. 710.13, Society for Neuroscience, San Diego, 2013.
  3. Philipp Albrecht, Ann-Kristin Müller, Martin Südmeyer, et al. Optical Coherence Tomography in Parkinsonian Syndromes. PLoS One. 2012; 7(4): e34891. Published online Apr 13, 2012.
  4. Garcia-Martin E et al. Distribution of retinal layer atrophy in patients with Parkinson disease and association with disease severity and duration. Am J Ophthalmol. 2014 Feb;157(2):470-478.
  5. Bayhan et al., Current Eye Research, 2014.
  6. Schneider et al., Journal of Neural Transmission, January 2014, Volume 121, Issue 1, pp 41-47
  7. Ringelstein M. et al. Subtle retinal pathology in amyotrophic lateral sclerosis. Annals of Clinical and Translational Neurology, Volume 1, Issue 4, pages 290-297, April 2014.
  8. Saidha S., et al. Microcystic macular oedema, thickness of the inner nuclear layer of the retina, and disease characteristics in multiple sclerosis: a retrospective study. The Lancet Neurology, Volume 11, Issue 11, Pages 963 – 972, November 2012.
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  10. Green A. Getting beyond the ganglion cell: morphometric adjustments for retinal optical coherence tomography in multiple sclerosis. JAMA Neurol. 2013 Jan;70(1):13-5.
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