Evaluation of facial paralysis using Image Computation

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Facial dimensions are of great interest to researchers in terms of Image processing and Computer Graphics. In recent years, various factors become popular which clearly affect the face model. Which are ageing, universal facial expressions, and muscle movement . Similarly in terms of medical terminology the facial paralysis can be peripheral or central depending on the level of motor neuron lesion which can be below the nucleus of the nerve or supra nuclear. The various medical therapy used for facial paralysis are electroaccupunture, electrotherapy, laser acupuncture, manual acupuncture which is a traditional form of acupuncture. Imaging plays a great role in evaluation of degree of paralysis. There is a wide research in terms of facial expressions and facial recognition but limited research work is available in facial paralysis. House- Brackmann Grading system is one of the simplest and easiest method to evaluate the degree of facial paralysis. During evaluation common facial expressions are recorded and are further evaluated by considering the focal points of the left or the right side of the face. This paper presents the classification of paralysis and degree of facial paralysis by use of pixel points along x-axis and y-axis.

     

     


  • Keywords


    Classification of Paralysis; Grading System; Pixel Distance Computation; Facial Regions.

  • References


      [1] Jagga, M., Lehri ,A. & Verma , S.K., “ Effect of aging and anthropometric measurements on nerve conduction properties- A Review”,Journal of exercise Science and Physiotherapy , Vol.7 , No.1, pp- 1-10, 2011.

      [2] Chen Cao,Yanlin Weng , Shum Zhou , “ Face Warehouse: A 3D Facial expression database for Visual Computing”, 2014.

      [3] Cheih-Han John Tzou , Igor Pona, Eva Placheta , Alina Hold, “Evolution of the 3-Dimensional Video system for facial motion analysis”,Perpheral Nerve surgery and research , Annals of plastic surgery, Vol.69 , No.2 , pp-173-185 , 2012.

      [4] Philipp Meyer-Marcotty , Angelika Stellzig-Eisenhauer, Ute Bareis , Jutta Hartmann , “Thrre Dimensional perception of facial asymmetry”, Europeon Journal of orthodontics, Vol.33, pp-647-653, 2011.

      [5] David F Mayor, “ Electroaccupuncture: An introduction and its use for peripheral facial paralysis”, Journal of Chienese Medicine , No.84 , 2007.

      [6] Garret R Griffin, Waleed Abuzeid , Jeffrey Vainshtein ,Jennifer C.Kim, “Outcomes following Temporalis Tendon Transfer in Irradiated Patients” , ARCH FACIAL PLAST SURG/ Vol. 14 , No.6 , 2012.

      [7] M.Gaianu, G. Cristescu , D.M. Onchis , “Erosion based Method for Quantification of Facial Palsy”, International Journal of Computer Communication , Vo.8 , No. 3, pp-416-424, 2013.

      [8] Anguraj K, Dr. S.Padma, “ Assessment of Facial Paralysis using Feature Point Selection Algorithm and Severity Classification with Neural Networks”, Anna University, Chennai , 2015.

      [9] Oya Celikutan , Sezer Ulukaya and Bulent Sankur , “A Comparative Study of face Landmarking techniques”, EURASIP , Journal of Image and Video Processing, 2013.


 




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