A Canonical Biomechanical Vocal Fold Model.
Summary: The present article aimed at constructing a canonical geometry of the human vocal fold (VF) from subject-specific image slice data. A computer-aided design approach automated the model construction. A subject-specific geometry available in literature, three abstractions (which successively...
| Publicado en: | Journal of Voice Vol. 26; no. 5; pp. 535 - 548 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Elsevier B.V.
Sep2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104504597&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104504597 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08921997 H24 jtl: Journal of Voice issn: 08921997 maglogo: N pubinfo: dt: Sep2012 vid: 26 iid: 5 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 104504597 2011674745 10.1016/j.jvoice.2011.09.001 NLM22209063 104504597 ppf: 535 ppct: 13 formats: tig: atl: A Canonical Biomechanical Vocal Fold Model. aug: au: Bhattacharya, Pinaki Siegmund, Thomas H. affil: School of Mechanical Engineering, Purdue University, West Lafayette, Indiana sug: subj: Models, Biological Evaluation Vocal Cords Computer-Aided Design Mathematics Methods Biomechanics ab: Summary: The present article aimed at constructing a canonical geometry of the human vocal fold (VF) from subject-specific image slice data. A computer-aided design approach automated the model construction. A subject-specific geometry available in literature, three abstractions (which successively diminished in geometric detail) derived from it, and a widely used quasi two-dimensional VF model geometry were used to create computational models. The first three natural frequencies of the models were used to characterize their mechanical response. These frequencies were determined for a representative range of tissue biomechanical properties, accounting for underlying VF histology. Compared with the subject-specific geometry model (baseline), a higher degree of abstraction was found to always correspond to a larger deviation in model frequency (up to 50% in the relevant range of tissue biomechanical properties). The model we deemed canonical was optimally abstracted, in that it significantly simplified the VF geometry compared with the baseline geometry but can be recalibrated in a consistent manner to match the baseline response. Models providing only a marginally higher degree of abstraction were found to have significant deviation in predicted frequency response. The quasi two-dimensional model presented an extreme situation: it could not be recalibrated for its frequency response to match the subject-specific model. This deficiency was attributed to complex support conditions at anterior-posterior extremities of the VFs, accentuated by further issues introduced through the tissue biomechanical properties. In creating canonical models by leveraging advances in clinical imaging techniques, the automated design procedure makes VF modeling based on subject-specific geometry more realizable. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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