title: Automatic and quantitative measurement of laryngeal video stroboscopic images.
abstract: The laryngeal video stroboscope is an important instrument for physicians to analyze abnormalities and diseases in the glottal area. Stroboscope has been widely used around the world. However, without quantized indices, physicians can only make subjective judgment on glottal images. We designed a new laser projection marking module and applied it onto the laryngeal video stroboscope to provide scale conversion reference parameters for glottal imaging and to convert the physiological parameters of glottis. Image processing technology was used to segment the important image regions of interest. Information of the glottis was quantified, and the vocal fold image segmentation system was completed to assist clinical diagnosis and increase accuracy. Regarding image processing, histogram equalization was used to enhance glottis image contrast. The center weighted median filters image noise while retaining the texture of the glottal image. Statistical threshold determination was used for automatic segmentation of a glottal image. As the glottis image contains saliva and light spots, which are classified as the noise of the image, noise was eliminated by erosion, expansion, disconnection, and closure techniques to highlight the vocal area. We also used image processing to automatically identify an image of vocal fold region in order to quantify information from the glottal image, such as glottal area, vocal fold perimeter, vocal fold length, glottal width, and vocal fold angle. The quantized glottis image database was created to assist physicians in diagnosing glottis diseases more objectively.
authors.affiliation: 1 Department of Materials Science and Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
authors.forename: Chung-Feng Jeffrey
authors.initials: CJ
authors.lastname: Kuo
authors.affiliation: 2 Wisconsin State Laboratory of Hygiene, Department of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI, USA.
authors.forename: Joseph
authors.initials: J
authors.lastname: Kuo
authors.affiliation: 1 Department of Materials Science and Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
authors.forename: Shang-Wun
authors.initials: SW
authors.lastname: Hsiao
authors.affiliation: 1 Department of Materials Science and Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
authors.forename: Chi-Lung
authors.initials: CL
authors.lastname: Lee
authors.affiliation: 3 Department of Otolaryngology-Head and Neck Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
authors.forename: Jih-Chin
authors.initials: JC
authors.lastname: Lee
authors.affiliation: 4 Graduate Institute of Automation and Control, National Taiwan University of Science and Technology, Taipei, Taiwan.
authors.forename: Bo-Han
authors.initials: BH
authors.lastname: Ke
mesh_terms: D005260:Female; D005931:Glottis / Q000033:anatomy & histology / Q000000981:diagnostic imaging / Q000502:physiology; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods; D007818:Laryngeal Diseases / Q000000981:diagnostic imaging / Q000503:physiopathology; D007830:Larynx / Q000033:anatomy & histology / Q000000981:diagnostic imaging* / Q000502:physiology; D007834:Lasers; D008297:Male; D049489:Stroboscopy / Q000379:methods*; D014741:Video Recording / Q000379:methods; D014827:Vocal Cords / Q000033:anatomy & histology / Q000000981:diagnostic imaging / Q000502:physiology; D055815:Young Adult
keywords: Laryngeal video stroboscope; digital image processing; glottis; laser projection marking module; medical image; physiological parameters