Digi analysis: static and dynamic evaluation of facial asymmetry & mandibular deviation

Asymmetry can be defined as lack of equivalence between parts or aspects of something. The face often presents with a mild degree of asymmetry. Perfect bilateral symmetry is rarely found. In relation to the face, the midsagittal plane is taken for symmetry and balance, with respect to size, shape and arrangement of the facial features. Various factors such as cleft lip, hemi-facial microsomia, and childhood fracture of the jaw have been reported to be associated with facial asymmetry resulting in pathologic asymmetry of the face. On the other hand, minor non-pathologic facial asymmetry, which is defined as the difference in size between the left and right hemifaces, or normal asymmetry, is relatively common. Nevertheless, slight asymmetry, also known as relative symmetry, subclinical asymmetry or normal asymmetry, ends up being unperceived by its carriers and everyone around them. Management of facial asymmetry is one of the arduous and challenging task to accomplish in disciplines of orthodontics and maxillofacial surgery. Mandibular laterodeviation is one of the most evident malformations of the face, because it alters the lower third of the face. Etiologically it can be classified into: Static laterodeviations caused by teeth; Static laterodeviations caused by skeleton change: by monolateral hypertrophy (condyle, condyle and neck of the condyle, half mandible hypertrophy); by monolateral hypertrophy (congenital pathological); Dynamic laterodeviations which are functional in nature. The aim of this study is to evaluate the face for symmetry, proportion and any presence of mandibular deviation both statically and dynamically calibrated to millimetre scale. DLIB facial landmark detection model, are pretrained models for point detection is being used to write a program to assess symmetry, proportion and any presence of mandibular deviation both statically and dynamically calibrated to milli metre scale using an open CV and python 3 platform. Video of the patient during opening and closing of the mandible will be recorded and given as input to the developed software and the desired output will be given.