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PubMed · 11699141

[Image analysis system for detection facial paralysis].

B H Suchy·S R Wolf·A Gebhard·D Paulus
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Abstract

BACKGROUND: Evaluation of facial nerve paresis depends on visual assessment and naturally differs from examiner to examiner. An objective measurement instrument is presented. PATIENTS AND METHOD: Facial features are automatically localized by a parametric face model in videos of a face during relaxation and exercises. Gray-level information is analyzed by a special steerable filter and used to identify symmetries. The computer system was tested in 19 individuals. RESULTS: Automatic localization of facial features such as the upper arc of the head and ears was correct in 95%, the eyes in 82%, and the mouth in 73%. Lid paresis was correctly recognized in seven of ten (70%) and oral paresis in 10 of 12 (83%) cases. Unaffected eyelid movements were identified in eight of nine (89%) and healthy oral regions in all seven (100%) cases. CONCLUSION: The computer system presented is able to automatically localize facial features and to identify facial nerve paresis. It is a considerable step toward automatic and objective grading of facial nerve paresis.

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Diagnosis, Computer-AssistedFacial ExpressionFacial ParalysisHumansImage Processing, Computer-AssistedSensitivity and SpecificitySoftwareVideo RecordingEnglish AbstractJournal ArticleResearch Support, Non-U.S. Gov't

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B H Suchy, S R Wolf, A Gebhard, D Paulus. 2001. [Image analysis system for detection facial paralysis].. https://doi.org/10.1007/s001060170029

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