title: Volumetric three-dimensional reconstruction and segmentation of spectral-domain OCT.
abstract: Despite advances in optical coherence tomography (OCT), three-dimensional (3D) renderings of OCT images remain limited to scanning consecutive two-dimensional (2D) OCT slices. The authors describe a method of reconstructing 2D OCT data for 3D retinal analysis and visualization in a Computer Assisted Virtual Environment (CAVE). Using customized signal processing software, raw data from 2D slice-based spectral-domain OCT images were rendered into high-resolution 3D images for segmentation and quantification analysis. Reconstructed OCT images were projected onto a four-walled space and viewed through stereoscopic glasses, resulting in a virtual reality perception of the retina. These 3D retinal renderings offer a novel method for segmentation and isolation of volumetric images. The ability to manipulate the images in a virtual reality environment allows visualization of complex spatial relationships that may aid our understanding of retinal pathology. More importantly, these 3D retinal renderings can be viewed, manipulated, and analyzed on traditional 2D monitors independent of the CAVE.
authors.affiliation: Department of Ophthalmology and HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY, USA.
authors.forename: Grant D
authors.initials: GD
authors.lastname: Aaker
authors.forename: Luis
authors.initials: L
authors.lastname: Gracia
authors.forename: Jane S
authors.initials: JS
authors.lastname: Myung
authors.forename: Vanessa
authors.initials: V
authors.lastname: Borcherding
authors.forename: Jason R
authors.initials: JR
authors.lastname: Banfelder
authors.forename: Donald J
authors.initials: DJ
authors.lastname: D'Amico
authors.forename: Szilárd
authors.initials: S
authors.lastname: Kiss
mesh_terms: D003941:Diagnostic Techniques, Ophthalmological; D006801:Humans; D021621:Imaging, Three-Dimensional; D041623:Tomography, Optical Coherence / Q000379:methods*