Objective Judgement of Endoscopic Laryngeal Images

  • Video Documentation of endoscopic findings simplifies diagnostic counseling of the patient and aids pre-operative discussion among the medical team. Judgment of such images is still subjective and can not give a quantitative evaluation of the disease process regarding diagnosis or response to treatment. Modern treatment of early laryngeal cancer with laserablation requires intensive follow up and frequent direct laryngoscopy under general anesthesia with blind biopsies to detect any tumor residual or recurrence. Inflammatory conditions of the larynx are frequently confused with other causes of dysphonia. Mapping anddigital analysis of the documented image will suggest the tumor site and avoids undue blind biopsies under anesthesia. However, varying illumination results in different colors reflected from the same object. To achieve quantitative analysis, color constancy has to be assured. Inthis paper, the environment is presented which allow the objective judgment of larngoscopies.

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Author:H. Hassan, Justus F. R. Ilgner, Christoph PalmORCiDGND, Thomas M. Lehmann, Klaus Spitzer, Martin Westhofen
URL / DOI:https://citeseerx.ist.psu.edu/doc_view/pid/caf5bedf5cf68ed3be68054b140a1241f4f278e2
Parent Title (English):Advances in Quantitative Laryngoscopy, Voice and Speech Research, Proceedings of the 3rd International Workshop, RWTH Aachen
Editor:Thomas M. Lehmann, Klaus Spitzer, Thomas Tolxdorff
Document Type:conference proceeding (article)
Year of first Publication:1998
Release Date:2020/06/08
Tag:Colorconstancy; Diagnosis; Image processing; Laryngoscopy; Quantitative Image analysis
First Page:135
Last Page:142
Institutes:Fakult├Ąt Informatik und Mathematik
Fakult├Ąt Informatik und Mathematik / Regensburg Medical Image Computing (ReMIC)
Publication:Externe Publikationen
research focus:Lebenswissenschaften und Ethik