A Supporting Platform for Semi-Automatic Hyoid Bone Tracking and Parameter Extraction from Videofluoroscopic Images for the Diagnosis of Dysphagia Patients
DC Field | Value | Language |
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dc.contributor.author | Lee, Jun Chang | - |
dc.contributor.author | Nam, Kyoung Won | - |
dc.contributor.author | Jang, Dong Pyo | - |
dc.contributor.author | Paik, Nam Jong | - |
dc.contributor.author | Ryu, Ju Seok | - |
dc.contributor.author | Kim, In Young | - |
dc.date.accessioned | 2022-07-14T07:56:56Z | - |
dc.date.available | 2022-07-14T07:56:56Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2017-04 | - |
dc.identifier.issn | 0179-051X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/152590 | - |
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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER | - |
dc.title | A Supporting Platform for Semi-Automatic Hyoid Bone Tracking and Parameter Extraction from Videofluoroscopic Images for the Diagnosis of Dysphagia Patients | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jang, Dong Pyo | - |
dc.contributor.affiliatedAuthor | Kim, In Young | - |
dc.identifier.doi | 10.1007/s00455-016-9759-x | - |
dc.identifier.scopusid | 2-s2.0-84995810306 | - |
dc.identifier.wosid | 000399169300011 | - |
dc.identifier.bibliographicCitation | DYSPHAGIA, v.32, no.2, pp.315 - 326 | - |
dc.relation.isPartOf | DYSPHAGIA | - |
dc.citation.title | DYSPHAGIA | - |
dc.citation.volume | 32 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 315 | - |
dc.citation.endPage | 326 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Otorhinolaryngology | - |
dc.relation.journalWebOfScienceCategory | Otorhinolaryngology | - |
dc.subject.keywordPlus | OROPHARYNGEAL DYSPHAGIA | - |
dc.subject.keywordPlus | CLASSIFICATION | - |
dc.subject.keywordPlus | SWALLOW | - |
dc.subject.keywordPlus | ASPIRATION | - |
dc.subject.keywordPlus | STROKE | - |
dc.subject.keywordPlus | SCALE | - |
dc.subject.keywordPlus | MECHANISMS | - |
dc.subject.keywordPlus | MOVEMENT | - |
dc.subject.keywordAuthor | Dysphagia | - |
dc.subject.keywordAuthor | Videofluoroscopic | - |
dc.subject.keywordAuthor | Hyoid bone | - |
dc.subject.keywordAuthor | Diagnosis | - |
dc.subject.keywordAuthor | Deglutition | - |
dc.subject.keywordAuthor | Deglutition disorders | - |
dc.identifier.url | https://link.springer.com/article/10.1007%2Fs00455-016-9759-x | - |
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