title: 3D reconstruction of cochlea using optical coherence tomography.
abstract: Recently, in vivo visualization of the cochlea and the smaller structures inside of it has been achieved by optical coherence tomography (OCT). This makes it possible to use OCT imaging for diagnosis of diseases such as Meniere's disease through measuring the degree of endolymphatic hydrops. To this end, we present a novel method for 3D segmentation of these cochlear OCT images that is based on superpixels and diffusion maps. The method takes as input grayscale volumetric OCT images and outputs a binary image with the segmented cochlea. We show that the proposed method is suitable for segmenting the data for visualization as well as for preprocessing the data for future automated grading of endolymphatic hydrops.
authors.forename: Tuukka
authors.initials: T
authors.lastname: Karvonen
authors.forename: Yuki
authors.initials: Y
authors.lastname: Uranishi
authors.forename: Tatsunori
authors.initials: T
authors.lastname: Sakamoto
authors.forename: Yosuke
authors.initials: Y
authors.lastname: Tona
authors.forename: Kazuya
authors.initials: K
authors.lastname: Okamoto
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Tamura
authors.forename: Tomohiro
authors.initials: T
authors.lastname: Kuroda
mesh_terms: D000465:Algorithms; D003051:Cochlea / Q000000981:diagnostic imaging* / Q000473:pathology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008575:Meniere Disease / Q000000981:diagnostic imaging* / Q000473:pathology; D041623:Tomography, Optical Coherence / Q000379:methods*