Suction based mechanical characterization of superficial facial soft tissues

• Published in: Journal of biomechanics 2015-12, Vol.48 (16), p.4279-4286
• Main Authors: Weickenmeier, J, Jabareen, M, Mazza, E
• Format: Article
• Language: English
• Subjects: Adult; Biological; Biomechanical Phenomena; Biomedical materials; Elasticity; Elasto-viscoplastic model; Experiments; Face - physiology; Facial; Facial Muscles - physiology; Facial skin and SMAS; Fatigue (materials); Finite Element Analysis; Humans; Inverse finite element analysis; Male; Mathematical models; Measurement techniques; Mechanical analysis; Physical Medicine and Rehabilitation; Physiology; Shape memory alloys; Skin Physiological Phenomena; Studies; Suction measurements; Suctioning; Surgical implants; Tension tests
• ISSN: 0021-9290; 1873-2380
• DOI: 10.1016/j.jbiomech.2015.10.039

Abstract The present study is aimed at a combined experimental and numerical investigation of the mechanical response of superficial facial tissues. Suction based experiments provide the location, time, and history dependent behavior of skin and SMAS (superficial musculoaponeurotic system) by means of Cutometer and Aspiration measurements. The suction method is particularly suitable for in vivo, multi-axial testing of soft biological tissue including a high repeatability in subsequent tests. The campaign comprises three measurement sites in the face, i.e. jaw, parotid, and forehead, using two different loading profiles (instantaneous loading and a linearly increasing and decreasing loading curve), multiple loading magnitudes, and cyclic loading cases to quantify history dependent behavior. In an inverse finite element analysis based on anatomically detailed models an optimized set of material parameters for the implementation of an elastic-viscoplastic material model was determined, yielding an initial shear modulus of 2.32 kPa for skin and 0.05 kPa for SMAS, respectively. Apex displacements at maximum instantaneous and linear loading showed significant location specificity with variations of up to 18% with respect to the facial average response while observing variations in repeated measurements in the same location of less than 12%. In summary, the proposed parameter sets for skin and SMAS are shown to provide remarkable agreement between the experimentally observed and numerically predicted tissue response under all loading conditions considered in the present study, including cyclic tests.