Characterization of knee aging by fringes projection, standardized pictures and viscoelastic methods
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Presented by: Emmanuel DORIDOT
Skin aging and its quantification is very well known on face, particularly the assessment of wrinkles on the eye’s corner zone. It is obviously a strategic zone as it is often the first part of us to be observed. However, other sites are also very visible, and the knee is one of them, in particular in summer and spring seasons. It seems that with aging the knees become dryer, more wrinkled and can suffer of ptosis. Uv exposure as well as specific life conditions can also promote knees wrinkles. This problem can be very impactant for people in their social relation and self-esteem.
Metrological evaluation of knees wrinkles is not an intense field of research and few publications are presenting standardized methods. Our aim was to set up illustrative and quantitative methods capable of showing knees wrinkles changes thru aging.
The difficulty to acquire such a moving part of the body with standing volunteers obliged us to develop 2 specific methods. First method consisted in a standardized acquisition with a photographic bench. Second method consisted in performing 3D acquisition by Fringes Projection (AEVA). Moreover, we tested existing devices for skin visco-elasticity and density (ElastiMeter, Cutometer® and Ultrasound DermaScan® C).
30 female volunteers aged 21y to 71y (mean 51y) and with Body Mass Index between 18 and 24 were recruited and submitted to various measures and acquisitions on the upper and middle part of right and left knees. For each method, the panel was divided into 3 age groups (young, middle, and old) and the correlation between calculated parameters and age was evaluated.
The photographic bench and the fringes projection bench were both set up to achieve a good contention of volunteers and has allowed us to built up a pictures and 3D atlas with six age categories (20-30-40-50-60-70 years old).
Moreover, with the fringes projection analysis, we have performed various calculation on roughness parameters (Ra, Rq, Rz) or features density. All our parameters have shown a positive correlation with age and the three age group were significantly different.
Regarding elasticity with the Cutometer®, all the parameters (R ,F or Q parameters) were tested and all have shown a high correlation with age and a significant split of three age groups. Using the ElastiMeter, there was a smaller correlation with age and we were only able to see a difference between young and old panelists groups.
Our try out with ultrasound device was particularly difficult to manage because of irregular skin area, and it could be the reason why we didn’t show any clear differences in the dermis skin density of young or aged volunteers.
We have confirmed that wrinkles and elasticity on the knee are age dependant. Moreover, amongst various quantification methods, we found that fringes projection and Cutometer® parameters are the best to precisely quantify knee aging. The standardized 2D and 3D pictures provided by our benches are interesting for illustrative purpose and comparison over the time.
Metrological evaluation of knees wrinkles is not an intense field of research and few publications are presenting standardized methods. Our aim was to set up illustrative and quantitative methods capable of showing knees wrinkles changes thru aging.
The difficulty to acquire such a moving part of the body with standing volunteers obliged us to develop 2 specific methods. First method consisted in a standardized acquisition with a photographic bench. Second method consisted in performing 3D acquisition by Fringes Projection (AEVA). Moreover, we tested existing devices for skin visco-elasticity and density (ElastiMeter, Cutometer® and Ultrasound DermaScan® C).
30 female volunteers aged 21y to 71y (mean 51y) and with Body Mass Index between 18 and 24 were recruited and submitted to various measures and acquisitions on the upper and middle part of right and left knees. For each method, the panel was divided into 3 age groups (young, middle, and old) and the correlation between calculated parameters and age was evaluated.
The photographic bench and the fringes projection bench were both set up to achieve a good contention of volunteers and has allowed us to built up a pictures and 3D atlas with six age categories (20-30-40-50-60-70 years old).
Moreover, with the fringes projection analysis, we have performed various calculation on roughness parameters (Ra, Rq, Rz) or features density. All our parameters have shown a positive correlation with age and the three age group were significantly different.
Regarding elasticity with the Cutometer®, all the parameters (R ,F or Q parameters) were tested and all have shown a high correlation with age and a significant split of three age groups. Using the ElastiMeter, there was a smaller correlation with age and we were only able to see a difference between young and old panelists groups.
Our try out with ultrasound device was particularly difficult to manage because of irregular skin area, and it could be the reason why we didn’t show any clear differences in the dermis skin density of young or aged volunteers.
We have confirmed that wrinkles and elasticity on the knee are age dependant. Moreover, amongst various quantification methods, we found that fringes projection and Cutometer® parameters are the best to precisely quantify knee aging. The standardized 2D and 3D pictures provided by our benches are interesting for illustrative purpose and comparison over the time.