Pathologies like plantar fasciitis, a common soft tissue disorder of the foot, is frequently associated with older age, high
BMI and little exercise. Like other pathologies associated with the foot, the knee or hip, foot orthoses can help the patient’s
posture and recent techniques allow the creation of personalized foot orthoses based on 3D foot model that are fitted with
high accuracy to the foot surface. In order to assess the efficacy of the personalized orthoses on the patient’s pose and
balance, depth images with reflectance camera filters are acquired in order to evaluate the posture of the patient before and
after the use of the orthoses. Images are analysed by clinicians to assess the region asymmetry and posture changes.
However, this remains a subjective evaluation and a quantifiable measurement is required to follow patient progression.
In this paper, we present a novel tool to assess and quantify the asymmetry of body regions using a color-based structural
similarity metric calculated from paired regions. This provides a quantitative measure to evaluate the effect of the
personalized orthoses on the patient. A user-friendly interface allows the user to select an area of the body and
automatically generate a symmetry axis, along with a measure of asymmetry measuring reflectance variations from the
skin. The tool was validated on 30 patients, demonstrating an 83% agreement rate compare to clinical observations.