Title :
Assessment of videolaryngostroboscopy images based on visible vessels of vocal folds
Author :
Turkmen, H. Irem ; Karsligil, M.E. ; Kocak, I.
Author_Institution :
Dept. of Comput. Eng., Yildiz Tech. Univ., Istanbul, Turkey
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
Extraction of vessel structures and the vessel features automatically forms an essential step for computer-aided diagnosis. Visible vessels of vocal folds become a diagnostic aid for vocal fold pathologies by publication of limited number of researches which analyze the effects of vocal fold pathologies on visual characteristics of blood vessels. In this paper we present a novel system that extracts blood vessels centerlines on vocal folds images and detects pathologically altered vocal folds exploiting visual characteristics of vessels.
Keywords :
biological organs; blood vessels; diseases; medical image processing; video recording; blood vessel structure extraction; computer-aided diagnosis; videolaryngostroboscopy image assessment; visual characteristics; vocal fold pathologies; vocal fold visible vessels; Biomedical imaging; Blood vessels; Image edge detection; Image segmentation; Joining processes; Pathology; Skeleton; Blood Vessel Detection; Videolaryngostroboscopy; Vocal Fold Pathologies; Blood Vessels; Humans; Laryngoscopy; Video Recording; Vocal Cords;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6347423
