Semi-automatic tracking of hyolaryngeal coordinates in videofluoroscopic swallowing studies

Rajkiran Natarajan, Ian Stavness, William Pearson

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

The gold standard for assessing dysphagia in the clinical setting is the videofluoroscopic swallowing study. Detailed, quantitative analysis of swallowing videos has significant potential to improve our understanding of healthy and pathological swallows. A key limitation of such analyses is that manual annotation of anatomical landmarks on video frames is tedious, time-consuming and potentially unreliable. In this study, we demonstrate a computer-assisted workflow that uses the Kanade–Lucas–Tomasi tracker to semi-automate the process of collecting coordinate data throughout a swallow cycle. We tested the workflow against eight videofluorographs of normal swallow subjects obtained from a variety of sources. Analysis of results showed that this workflow can facilitate the process of accurately determining a variety of hyolaryngeal kinematic variables and generate coordinates useful for biomechanical simulation and morphometric analysis of swallowing.

Original languageEnglish (US)
Pages (from-to)379-389
Number of pages11
JournalComputer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
Volume5
Issue number6
DOIs
StatePublished - Nov 2 2017

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Deglutition
Kinematics
Workflow
Chemical analysis
Swallows
Deglutition Disorders
Biomechanical Phenomena

Keywords

  • applications of imaging and visualization
  • data processing and analysis
  • image processing and analysis
  • imaging and visualization in biomechanics

ASJC Scopus subject areas

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

Cite this

Semi-automatic tracking of hyolaryngeal coordinates in videofluoroscopic swallowing studies. / Natarajan, Rajkiran; Stavness, Ian; Pearson, William.

In: Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, Vol. 5, No. 6, 02.11.2017, p. 379-389.

Research output: Contribution to journalArticle

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