Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 장동표 | - |
dc.date.accessioned | 2019-11-24T14:44:27Z | - |
dc.date.available | 2019-11-24T14:44:27Z | - |
dc.date.issued | 2017-04 | - |
dc.identifier.citation | DYSPHAGIA, v. 32, no. 2, page. 315-326 | en_US |
dc.identifier.issn | 0179-051X | - |
dc.identifier.issn | 1432-0460 | - |
dc.identifier.uri | https://link.springer.com/article/10.1007%2Fs00455-016-9759-x | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/113701 | - |
dc.description.abstract | Conventional kinematic analysis of videofluoroscopic (VF) swallowing image, most popular for dysphagia diagnosis, requires time-consuming and repetitive manual extraction of diagnostic information from multiple images representing one swallowing period, which results in a heavy work load for clinicians and excessive hospital visits for patients to receive counseling and prescriptions. In this study, a software platform was developed that can assist in the VF diagnosis of dysphagia by automatically extracting a two-dimensional moving trajectory of the hyoid bone as well as 11 temporal and kinematic parameters. Fifty VF swallowing videos containing both non-mandible-overlapped and mandible-overlapped cases from eight patients with dysphagia of various etiologies and 19 videos from ten healthy controls were utilized for performance verification. Percent errors of hyoid bone tracking were 1.7 +/- 2.1% for non-overlapped images and 4.2 +/- 4.8% for overlapped images. Correlation coefficients between manually extracted and automatically extracted moving trajectories of the hyoid bone were 0.986 +/- 0.017 (X-axis) and 0.992 +/- 0.006 (Y-axis) for non-overlapped images, and 0.988 +/- 0.009 (X-axis) and 0.991 +/- 0.006 (Y-axis) for overlapped images. Based on the experimental results, we believe that the proposed platform has the potential to improve the satisfaction of both clinicians and patients with dysphagia. | en_US |
dc.description.sponsorship | This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (NRF-2013R1A1A1004622 and NRF-2015R1D1A1A01058652). | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | SPRINGER | en_US |
dc.subject | Dysphagia | en_US |
dc.subject | Videofluoroscopic | en_US |
dc.subject | Hyoid bone | en_US |
dc.subject | Diagnosis | en_US |
dc.subject | Deglutition | en_US |
dc.subject | Deglutition disorders | en_US |
dc.title | A Supporting Platform for Semi-Automatic Hyoid Bone Tracking and Parameter Extraction from Videofluoroscopic Images for the Diagnosis of Dysphagia Patients | en_US |
dc.type | Article | en_US |
dc.relation.no | 2 | - |
dc.relation.volume | 32 | - |
dc.identifier.doi | 10.1007/s00455-016-9759-x | - |
dc.relation.page | 315-326 | - |
dc.relation.journal | DYSPHAGIA | - |
dc.contributor.googleauthor | Lee, Jun Chang | - |
dc.contributor.googleauthor | Nam, Kyoung Won | - |
dc.contributor.googleauthor | Jang, Dong Pyo | - |
dc.contributor.googleauthor | Paik, Nam Jong | - |
dc.contributor.googleauthor | Ryu, Ju Seok | - |
dc.contributor.googleauthor | Kim, In Young | - |
dc.relation.code | 2017001341 | - |
dc.sector.campus | S | - |
dc.sector.daehak | GRADUATE SCHOOL OF BIOMEDICAL SCIENCE AND ENGINEERING[S] | - |
dc.identifier.pid | dongpjang | - |
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