Diagnosis system for the quantitative assessment of facial nerve palsy based on the image analysis of facial movements

Haruyuki Minamitani, Atsuhiko Iijima, Takanobu Kunihiro

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Facial expression is very complicated and delicate, that is due to a mutual link among facial muscles under control of facial nerves. Generally, a front view of facial movement is symmetrical on right and left in healthy condition, however, it shows asymmetry in case that the neuromuscular system is injured or disordered by the so-called facial paralysis or facial nerve palsy. In clinical diagnosis of the facial nerve palsy, quantitative and objective assessment of the facial movement is strongly required at present. In this study, a diagnosis system for the quantitative assessment of facial nerve palsy has been proposed using the optical flow method that presents the degree of precise movements in the facial area. Sequences of facial images have been analyzed to depict the optical flow for various kinds of facial expression. Right-left ratio of the facial movements obtained from the optical flow is very effective for the quantitative assessment of facial nerve palsy and it is available to the clinical use.

Original languageEnglish
Pages (from-to)87-96
Number of pages10
JournalJapanese Journal of Medical Electronics and Biological Engineering
Volume41
Issue number2
Publication statusPublished - 2003

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Optical flows
Image analysis
Muscle

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

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abstract = "Facial expression is very complicated and delicate, that is due to a mutual link among facial muscles under control of facial nerves. Generally, a front view of facial movement is symmetrical on right and left in healthy condition, however, it shows asymmetry in case that the neuromuscular system is injured or disordered by the so-called facial paralysis or facial nerve palsy. In clinical diagnosis of the facial nerve palsy, quantitative and objective assessment of the facial movement is strongly required at present. In this study, a diagnosis system for the quantitative assessment of facial nerve palsy has been proposed using the optical flow method that presents the degree of precise movements in the facial area. Sequences of facial images have been analyzed to depict the optical flow for various kinds of facial expression. Right-left ratio of the facial movements obtained from the optical flow is very effective for the quantitative assessment of facial nerve palsy and it is available to the clinical use.",
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