Visualising hyolaryngeal mechanics in swallowing using dynamic MRI

William Gordon Pearson, Ann C. Zumwalt

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

In this study, coordinates of anatomical landmarks were captured using dynamic MRI (dMRI) to explore whether a proposed two-sling mechanism underlies hyolaryngeal elevation in pharyngeal swallowing. A principal component analysis (PCA) was applied to coordinates to determine the covariant function of the proposed mechanism. dMRI data were acquired from 11 healthy subjects during a repeated swallow task. Coordinates mapping the proposed mechanism were collected from each dynamic (frame) of a dMRI swallowing series of a randomly selected subject in order to demonstrate shape changes in a single subject. Coordinates representing minimum and maximum hyolaryngeal elevation of all 11 subjects were also mapped to demonstrate shape changes in the system among all subjects. MophoJ software was used to perform PCA and determine vectors of shape change (eigenvectors) for elements of the two-sling mechanism of hyolaryngeal elevation. For both single subject and group PCAs, hyolaryngeal elevation accounted for the first principal component of variation. For the single subject PCA, the first principal component accounted for 81.5% of the variance. For the between-subjects PCA, the first principal component accounted for 58.5% of the variance. Eigenvectors and shape changes associated with this first principal component are reported. Thus, it was concluded that eigenvectors indicate that two muscular slings and associated skeletal elements function as components of a covariant mechanism to elevate the hyolaryngeal complex. Also, morphological analysis is useful to model shape changes in the two-sling mechanism of hyolaryngeal elevation.

Original languageEnglish (US)
Pages (from-to)208-216
Number of pages9
JournalComputer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
Volume2
Issue number4
DOIs
StatePublished - Oct 2 2014

Fingerprint

Slings
Deglutition
Principal Component Analysis
Mechanics
Magnetic resonance imaging
Principal component analysis
Eigenvalues and eigenfunctions
Passive Cutaneous Anaphylaxis
Healthy Volunteers
Software

Keywords

  • deglutition
  • hyolaryngeal complex
  • imaging and visualisation in biomechanics
  • medical imaging and visualisation
  • morphometrics

ASJC Scopus subject areas

  • Computational Mechanics
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

Cite this

Visualising hyolaryngeal mechanics in swallowing using dynamic MRI. / Pearson, William Gordon; Zumwalt, Ann C.

In: Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, Vol. 2, No. 4, 02.10.2014, p. 208-216.

Research output: Contribution to journalArticle

@article{3b5f7cce3c3f4f5eb1762b303a2956d7,
title = "Visualising hyolaryngeal mechanics in swallowing using dynamic MRI",
abstract = "In this study, coordinates of anatomical landmarks were captured using dynamic MRI (dMRI) to explore whether a proposed two-sling mechanism underlies hyolaryngeal elevation in pharyngeal swallowing. A principal component analysis (PCA) was applied to coordinates to determine the covariant function of the proposed mechanism. dMRI data were acquired from 11 healthy subjects during a repeated swallow task. Coordinates mapping the proposed mechanism were collected from each dynamic (frame) of a dMRI swallowing series of a randomly selected subject in order to demonstrate shape changes in a single subject. Coordinates representing minimum and maximum hyolaryngeal elevation of all 11 subjects were also mapped to demonstrate shape changes in the system among all subjects. MophoJ software was used to perform PCA and determine vectors of shape change (eigenvectors) for elements of the two-sling mechanism of hyolaryngeal elevation. For both single subject and group PCAs, hyolaryngeal elevation accounted for the first principal component of variation. For the single subject PCA, the first principal component accounted for 81.5{\%} of the variance. For the between-subjects PCA, the first principal component accounted for 58.5{\%} of the variance. Eigenvectors and shape changes associated with this first principal component are reported. Thus, it was concluded that eigenvectors indicate that two muscular slings and associated skeletal elements function as components of a covariant mechanism to elevate the hyolaryngeal complex. Also, morphological analysis is useful to model shape changes in the two-sling mechanism of hyolaryngeal elevation.",
keywords = "deglutition, hyolaryngeal complex, imaging and visualisation in biomechanics, medical imaging and visualisation, morphometrics",
author = "Pearson, {William Gordon} and Zumwalt, {Ann C.}",
year = "2014",
month = "10",
day = "2",
doi = "10.1080/21681163.2013.846231",
language = "English (US)",
volume = "2",
pages = "208--216",
journal = "Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization",
issn = "2168-1163",
publisher = "Taylor and Francis Ltd.",
number = "4",

}

TY - JOUR

T1 - Visualising hyolaryngeal mechanics in swallowing using dynamic MRI

AU - Pearson, William Gordon

AU - Zumwalt, Ann C.

PY - 2014/10/2

Y1 - 2014/10/2

N2 - In this study, coordinates of anatomical landmarks were captured using dynamic MRI (dMRI) to explore whether a proposed two-sling mechanism underlies hyolaryngeal elevation in pharyngeal swallowing. A principal component analysis (PCA) was applied to coordinates to determine the covariant function of the proposed mechanism. dMRI data were acquired from 11 healthy subjects during a repeated swallow task. Coordinates mapping the proposed mechanism were collected from each dynamic (frame) of a dMRI swallowing series of a randomly selected subject in order to demonstrate shape changes in a single subject. Coordinates representing minimum and maximum hyolaryngeal elevation of all 11 subjects were also mapped to demonstrate shape changes in the system among all subjects. MophoJ software was used to perform PCA and determine vectors of shape change (eigenvectors) for elements of the two-sling mechanism of hyolaryngeal elevation. For both single subject and group PCAs, hyolaryngeal elevation accounted for the first principal component of variation. For the single subject PCA, the first principal component accounted for 81.5% of the variance. For the between-subjects PCA, the first principal component accounted for 58.5% of the variance. Eigenvectors and shape changes associated with this first principal component are reported. Thus, it was concluded that eigenvectors indicate that two muscular slings and associated skeletal elements function as components of a covariant mechanism to elevate the hyolaryngeal complex. Also, morphological analysis is useful to model shape changes in the two-sling mechanism of hyolaryngeal elevation.

AB - In this study, coordinates of anatomical landmarks were captured using dynamic MRI (dMRI) to explore whether a proposed two-sling mechanism underlies hyolaryngeal elevation in pharyngeal swallowing. A principal component analysis (PCA) was applied to coordinates to determine the covariant function of the proposed mechanism. dMRI data were acquired from 11 healthy subjects during a repeated swallow task. Coordinates mapping the proposed mechanism were collected from each dynamic (frame) of a dMRI swallowing series of a randomly selected subject in order to demonstrate shape changes in a single subject. Coordinates representing minimum and maximum hyolaryngeal elevation of all 11 subjects were also mapped to demonstrate shape changes in the system among all subjects. MophoJ software was used to perform PCA and determine vectors of shape change (eigenvectors) for elements of the two-sling mechanism of hyolaryngeal elevation. For both single subject and group PCAs, hyolaryngeal elevation accounted for the first principal component of variation. For the single subject PCA, the first principal component accounted for 81.5% of the variance. For the between-subjects PCA, the first principal component accounted for 58.5% of the variance. Eigenvectors and shape changes associated with this first principal component are reported. Thus, it was concluded that eigenvectors indicate that two muscular slings and associated skeletal elements function as components of a covariant mechanism to elevate the hyolaryngeal complex. Also, morphological analysis is useful to model shape changes in the two-sling mechanism of hyolaryngeal elevation.

KW - deglutition

KW - hyolaryngeal complex

KW - imaging and visualisation in biomechanics

KW - medical imaging and visualisation

KW - morphometrics

UR - http://www.scopus.com/inward/record.url?scp=84981363470&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84981363470&partnerID=8YFLogxK

U2 - 10.1080/21681163.2013.846231

DO - 10.1080/21681163.2013.846231

M3 - Article

VL - 2

SP - 208

EP - 216

JO - Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization

JF - Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization

SN - 2168-1163

IS - 4

ER -