Literature DB >> 16285273

Individual subject laryngeal dimensions of multiple mammalian species for biomechanical models.

Eric J Hunter1, Ingo R Titze.   

Abstract

OBJECTIVES: This report provides a detailed knowledge base of individual subject laryngeal cartilage dimensions across multiple species to assist researchers in creating subject-specific biomechanical laryngeal models.
METHODS: The raw data from previous laryngeal cartilage studies were grouped by species (for human, canine, and ovine) and by cartilage (arytenoid, thyroid, and cricoid) by means of a previously reported labeling scheme. No animals were sacrificed specifically for the present study.
RESULTS: More than 1,500 measurements from 37 subjects are presented in 15 tables. No comparisons of the average measures were attempted, as they were done in previous studies.
CONCLUSIONS: By means of a database of individual subject dimensions, a laryngeal model could be designed and tested to morph from one subject to the next, predicting subject-specific results of laryngeal function. Eventually, this would lead to modeling patient-specific laryngeal disorders and the prediction of therapeutic outcomes. An electronic downloadable version of the database is made available to assist in this effort.

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Year:  2005        PMID: 16285273     DOI: 10.1177/000348940511401012

Source DB:  PubMed          Journal:  Ann Otol Rhinol Laryngol        ISSN: 0003-4894            Impact factor:   1.547


  4 in total

1.  Flow-induced vibratory response of idealized versus magnetic resonance imaging-based synthetic vocal fold models.

Authors:  Brian A Pickup; Scott L Thomson
Journal:  J Acoust Soc Am       Date:  2010-09       Impact factor: 1.840

Review 2.  Gender differences affecting vocal health of women in vocally demanding careers.

Authors:  Eric J Hunter; Kristine Tanner; Marshall E Smith
Journal:  Logoped Phoniatr Vocol       Date:  2011-07-04       Impact factor: 1.487

3.  Three-dimensional reconstruction of human vocal folds and standard laryngeal cartilages using computed tomography scan data.

Authors:  Hani Bakhshaee; Christina Moro; Karen Kost; Luc Mongeau
Journal:  J Voice       Date:  2013-10-08       Impact factor: 2.009

4.  A mixed-effects model approach for the statistical analysis of vocal fold viscoelastic shear properties.

Authors:  Chet C Xu; Roger W Chan; Han Sun; Xiaowei Zhan
Journal:  J Mech Behav Biomed Mater       Date:  2017-08-04
  4 in total

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