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초고속 후두내시경 영상을 이용한 평면 스캔 비디오카이모그래피 영상 생성
Post-Processing of High-Speed Video-Laryngoscopic Images to Two-Dimensional Scanning Digital Kymographic Images 원문보기

대한후두음성언어의학회지 = Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics, v.28 no.2, 2017년, pp.89 - 95  

차원재 (부산대학교병원 이비인후과, 의생명연구원) ,  왕수건 (부산대학교 의학전문대학원 이비인후과학교실) ,  장전엽 (아주대학교 의학전문대학원 이비인후과학교실) ,  김근효 (부산대학교병원 이비인후과, 의생명연구원) ,  이연우 (부산대학교병원 이비인후과, 의생명연구원)

Abstract AI-Helper 아이콘AI-Helper

Background and Objectives : High-speed videolaryngoscopy (HSV) is the only technique that captures the true intra-cycle vibratory behavior of the vocal folds by capturing full images of the vocal folds. However, it has problems of no immediate feedback during examination, considerable waiting time f...

주제어

AI 본문요약
AI-Helper 아이콘 AI-Helper

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제안 방법

  • He was a speech-language pathologist and could produce various registers. He phonated sustained /e/ vowels in a modal voice, which were recorded using an HSV imaging system.
  • The 2D DKG image type, which adopted the algorithm of 2D VKG, can provide clinically relevant information with low storage needs and might be suggested as the imaging protocol for the new post-processing method. In this study, we demonstrate a new post-processing method that can convert HSV images to 2D DKG images.
  • Images may also be uploaded to medical PACS without additional upgrades to either storage or the computer system. To validate whether post-processed 2D DKG could provide optimal information for vibratory movement from HSV images, its quantitative parameters were compared with those of conventional DKG. As there was no difference between the two image types, postprocessing to 2D DKG was considered to be a suitable conversion method.

대상 데이터

  • A healthy 34-year-old man with no history of laryngeal disorders or surgery participated in this study. He was a speech-language pathologist and could produce various registers.

데이터처리

  • A Student’s t-test was used to evaluate the differences between the two groups ; p values of <0.05 were considered significant.

이론/모형

  • The converted images can be exported as a video file (avi type). The conversion algorithm was adopted from the line scanning method of the 2D DKG system. In the selected glottal area, a horizontal line or lines of HSV images are serially reconstructed into the new 2D DKG images.
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참고문헌 (20)

  1. Yamauchi A, Yokonishi H, Imagawa H, Sakakibara K, Nito T, Tayama N, et al. Quantification of Vocal Fold Vibration in Various Laryngeal Disorders Using High-Speed Digital Imaging. J Voice 2016;30:205-14. 

  2. Kendall KA, Browning MM, Skovlund SM. Introduction to high-speed imaging of the larynx. Curr Opin Otolaryngol Head Neck Surg 2005;13:135-7. 

  3. Mendelsohn AH, Remacle M, Courey MS, Gerhard F, Postma GN. The diagnostic role of high-speed vocal fold vibratory imaging. J Voice 2013;27:627-31. 

  4. Jiang JJ, Yumoto E, Lin SJ, Kadota Y, Kurokawa H, Hanson DG. Quantitative measurement of mucosal wave by high-speed photography in excised larynges. Ann Otol Rhinol Laryngol 1998;107:98-103. 

  5. Deliyski DD, Petrushev PP, Bonilha HS, Gerlach TT, Martin-Harris B, Hillman RE. Clinical implementation of laryngeal high-speed videoendoscopy: challenges and evolution. Folia Phoniatr Logop 2008;60:33-44. 

  6. Yamauchi A, Imagawa H, Sakakibara K, Yokonishi H, Nito T, Yamasoba T, et al. Phase difference of vocally healthy subjects in high-speed digital imaging analyzed with laryngotopography. J Voice 2013;27:39-45. 

  7. Lohscheller J, Eysholdt U, Toy H, Dollinger M. Phonovibrography: mapping high-speed movies of vocal fold vibrations into 2-D diagrams for visualizing and analyzing the underlying laryngeal dynamics. IEEE Trans Med Imaging 2008;27:300-9. 

  8. Kunduk M, Doellinger M, McWhorter AJ, Lohscheller J. Assessment of the variability of vocal fold dynamics within and between recordings with high-speed imaging and by phonovibrogram. Laryngoscope 2010;120:981-7. 

  9. Yamauchi A, Yokonishi H, Imagawa H, Sakakibara KI, Nito T, Tayama N, et al. Characterization of Vocal Fold Vibration in Sulcus Vocalis Using High-Speed Digital Imaging. J Speech Lang Hear Res 2017;60:24-37. 

  10. Yamauchi A, Yokonishi H, Imagawa H, Sakakibara K, Nito T, Tayama N, et al. Visualization and Estimation of Vibratory Disturbance in Vocal Fold Scar Using High-Speed Digital Imaging. J Voice 2016;30:493-500. 

  11. Yamauchi A, Yokonishi H, Imagawa H, Sakakibara KI, Nito T, Tayama N. Quantitative Analysis of Vocal Fold Vibration in Vocal Fold Paralysis With the Use of High-speed Digital Imaging. J Voice 2016;30:766 e13-e22. 

  12. Svec JG, Schutte HK. Kymographic imaging of laryngeal vibrations. Curr Opin Otolaryngol Head Neck Surg 2012;20:458-65. 

  13. Yamauchi A, Imagawa H, Yokonishi H, Nito T, Yamasoba T, Goto T, et al. Evaluation of vocal fold vibration with an assessment form for high-speed digital imaging: comparative study between healthy young and elderly subjects. J Voice 2012;26:742-50. 

  14. Wittenberg T, Tigges M, Mergell P, Eysholdt U. Functional imaging of vocal fold vibration: digital multislice high-speed kymography. J Voice 2000;14:422-42. 

  15. Larsson H, Hertegard S, Lindestad PA, Hammarberg B. Vocal fold vibrations: high-speed imaging, kymography, and acoustic analysis: a preliminary report. Laryngoscope 2000;110:2117-22. 

  16. Wang SG, Park HJ, Cho JK, Jang JY, Lee WY, Lee BJ, et al. The First Application of the Two-Dimensional Scanning Videokymography in Excised Canine Larynx Model. J Voice 2016;30:1-4. 

  17. Park HJ, Cha W, Kim GH, Jeon GR, Lee BJ, Shin BJ, et al. Imaging and Analysis of Human Vocal Fold Vibration Using Two-Dimensional (2D) Scanning Videokymography. J Voice 2016;30:345-53. 

  18. Sataloff RT, Spiegel JR, Hawkshaw MJ. Strobovideolaryngoscopy: results and clinical value. Ann Otol Rhinol Laryngol 1991;100:725-7. 

  19. Gall V. Strip kymography of the glottis. Arch Otorhinolaryngol 1984;240:287-93. 

  20. Gall V, Gall D, Hanson J. [Laryngeal photokymography]. Arch Klin Exp Ohren Nasen Kehlkopfheilkd 1971;200:34-41. 

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