Quantitative assessment of facial paralysis using infrared thermal imaging

Facial paralysis is a condition causing decreased movement on one side of the face. A quantitative, objective, and reliable assessment method would be an invaluable tool for clinicians treating patients with this condition. This paper presents a novel framework for objective assessment of facial paralysis based on patient infrared thermal image. Facial feature localization is discussed based on facial temperature distribution specificity and edge detection. An algorithm is presented to process the infrared thermal image to obtain the facial temperature distribution features in the relevant facial regions. Three classification methods are applied to provide quantitative evaluations of facial nerve function based on the House-Brackmann scale. Experiments show infrared thermal imaging can be used as an effective tool for the automatic assessment of facial nerve function.

[1]  Dong Zhang,et al.  A method of selecting acupoints for acupuncture treatment of peripheral facial paralysis by thermography. , 2007, The American journal of Chinese medicine.

[2]  T. Hadlock,et al.  Good correlation between original and modified house Brackmann facial grading systems , 2011, The Laryngoscope.

[3]  Kazuhiro Fukui,et al.  Feature Extraction Based on Co-occurrence of Adjacent Local Binary Patterns , 2011, PSIVT.

[4]  Wen-Xue Hong,et al.  [Objective assessment of facial paralysis using infrared thermography and formal concept analysis]. , 2014, Guang pu xue yu guang pu fen xi = Guang pu.

[5]  John J Soraghan,et al.  Objective method of assessing and presenting the House‐Brackmann and regional grades of facial palsy by production of a facogram , 2009, Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology.

[6]  Hamzah Luqman,et al.  KAFD Arabic font database , 2014, Pattern Recognit..

[7]  Patrick J Byrne,et al.  Concurrent rhinoplasty and endoscopic sinus surgery: a review of the pros and cons and a template for success. , 2012, Facial plastic surgery clinics of North America.

[8]  Moon Suh Park,et al.  Steroid-antiviral treatment improves the recovery rate in patients with severe Bell's palsy. , 2013, The American journal of medicine.

[9]  John J. Soraghan,et al.  Quantitative Analysis of Facial Paralysis Using Local Binary Patterns in Biomedical Videos , 2009, IEEE Transactions on Biomedical Engineering.

[10]  John J. Soraghan,et al.  Biomedical Image Sequence Analysis with Application to Automatic Quantitative Assessment of Facial Paralysis , 2007, EURASIP J. Image Video Process..

[11]  Julian Prell,et al.  Train time as a quantitative electromyographic parameter for facial nerve function in patients undergoing surgery for vestibular schwannoma. , 2007, Journal of neurosurgery.

[12]  Edson Ibrahim Mitre,et al.  Objective method for facial motricity grading in healthy individuals and in patients with unilateral peripheral facial palsy. , 2008, American journal of otolaryngology.

[13]  N Julian Holland,et al.  Recent developments in Bell's palsy , 2004, BMJ : British Medical Journal.

[14]  S Lamina,et al.  Pattern of facial palsy in a typical Nigerian specialist hospital. , 2013, African health sciences.

[15]  J. Cohn,et al.  Automated Tracking of Facial Features in Patients with Facial Neuromuscular Dysfunction , 2001, Plastic and reconstructive surgery.