Specific Use: Cosmeceuticals for Body Skin Texture and Cellulite Treatment

2021 ◽  
pp. 104-113
Author(s):  
Aleksandra Lindgren ◽  
Andrea Hui Austin ◽  
Kathleen M. Welsh
Keyword(s):  
Skin Texture

SKIN TEXTURE RECOGNITION THROUGH IMAGE PROCESSING

2019 ◽  
Vol 6 (1) ◽  
pp. 17
Author(s):  
SHARMA SUKHDEEP ◽  
DUBEY AAYUSHI ◽  
◽  
Keyword(s):  
Image Processing ◽  
Texture Recognition ◽  
Skin Texture

scholarly journals Investigate the improvement of facial skin texture with the VISIA system after total thyroidectomy

BMC Surgery ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Spencer C. H. Kuo ◽  
Faye Huang ◽  
Shun-Yu Chi ◽  
Hui-Ping Lin ◽  
Peng-Chen Chien ◽  
...  
Keyword(s):  
Total Thyroidectomy ◽  
Surgical Removal ◽  
Facial Skin ◽  
Skin Texture ◽  
Sphericity Test ◽  
Preoperative Stage ◽  
Before And After ◽  
A Prospective Study ◽  
Skin Quality ◽  
Tsh Levels

Abstract Background During clinical practice we have noticed that some patients with hyperthyroidism have finer skin with less wrinkles, pores, and spots after thyroidectomy, and the improvement can be observed within a few weeks after the operation. However, there is no evidence or study in the literature to proof this finding. Aim and objective This study was designed to evaluate and quantify the skin characters of patients with hyperthyroidism before and after thyroidectomy. Material and methods This is a prospective study to include patients with hyperthyroidism who received total thyroidectomy between March 1st, 2018 and February 28th, 2019. The patients received blood test for T4 and TSH analysis and VISIA measurements for skin texture quantification, at the preoperative stage, three, and six months postoperatively. A total of 8 patients were included. Repeated measurement was used to determine the lab data and VISIA measurement changes before and after the operation. Mauchly’s sphericity test was performed to determine whether the violation of sphericity occurs, and the Greenhouse–Geisser correction was used when the violation of sphericity occurs. Results All the patients were female and generally healthy without systemic medical disease except the hyperthyroidism. The T4 and TSH levels were not significantly different before and after the thyroidectomy. In terms of the skin character measurements, the wrinkles, texture, pores, UV spots, and brown spots were not improved after thyroidectomy. A trend of improvement in spots, red area, and porphyrin was noted, although not statistically significant. Conclusions Surgical removal of the thyroid gland in patients with hyperthyroidism does not improve the skin quality and texture in examinations via the VISIA system.

A quantitative evaluation method of skin texture affected by skin ageing using replica images of the cheek

2014 ◽  
Vol 36 (3) ◽  
pp. 247-252 ◽  
Author(s):  
J. H. Ryu ◽  
Y. K. Seo ◽  
Y. C. Boo ◽  
M. Y. Chang ◽  
T. J. Kwak ◽  
...  
Keyword(s):  
Quantitative Evaluation ◽  
Evaluation Method ◽  
Skin Texture

Laser Treatment for Acne Vulgaris

1995 ◽  
Vol 12 (2) ◽  
pp. 127-131
Author(s):  
Somyos Kunachak
Keyword(s):  
Carbon Dioxide ◽  
Laser Treatment ◽  
Carbon Dioxide Laser ◽  
Acne Vulgaris ◽  
Skin Texture ◽  
Initial Clearance

This study reports 30 resistant cases of acne vulgaris that were treated by carbon dioxide laser. The patients range in age from 13 to 26 years old. The lesions treated were all types of acne, which included cysts, nodules, papules, pustules, black heads, and white heads. The results were gratifying, with a quick initial clearance of the lesion; no scar or changing of skin texture was observed in most of the cases. These results could suggest another, not previously reported, application of the carbon dioxide laser in the field of medicine.

scholarly journals Biological Bases of Beauty Revisited: The Effect of Symmetry, Averageness, and Sexual Dimorphism on Female Facial Attractiveness

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 279 ◽  
Author(s):  
Alex L. Jones ◽  
Bastian Jaeger
Keyword(s):  
Sexual Dimorphism ◽  
Learning Algorithm ◽  
Facial Attractiveness ◽  
Choice Task ◽  
Future Research ◽  
Human Female ◽  
Literature Study ◽  
Skin Texture ◽  
Femininity And Masculinity ◽  
Forced Choice Task

The factors influencing human female facial attractiveness—symmetry, averageness, and sexual dimorphism—have been extensively studied. However, recent studies, using improved methodologies, have called into question their evolutionary utility and links with life history. The current studies use a range of approaches to quantify how important these factors actually are in perceiving attractiveness, through the use of novel statistical analyses and by addressing methodological weaknesses in the literature. Study One examines how manipulations of symmetry, averageness, femininity, and masculinity affect attractiveness using a two-alternative forced choice task, finding that increased masculinity and also femininity decrease attractiveness, compared to unmanipulated faces. Symmetry and averageness yielded a small and large effect, respectively. Study Two utilises a naturalistic ratings paradigm, finding similar effects of averageness and masculinity as Study One but no effects of symmetry and femininity on attractiveness. Study Three applies geometric face measurements of the factors and a random forest machine learning algorithm to predict perceived attractiveness, finding that shape averageness, dimorphism, and skin texture symmetry are useful features capable of relatively accurate predictions, while shape symmetry is uninformative. However, the factors do not explain as much variance in attractiveness as the literature suggests. The implications for future research on attractiveness are discussed.

Skin Texture Modeling

2005 ◽  
Vol 62 (1/2) ◽  
pp. 97-119 ◽  
Author(s):  
Oana G. Cula ◽  
Kristin J. Dana ◽  
Frank P. Murphy ◽  
Babar K. Rao
Keyword(s):  
Skin Texture ◽  
Texture Modeling

A Digital Diagnostic Aide for Skincare: The Role of Computer Vision and Machine Learning in Revealing Skin Texture Changes

2020 ◽  
pp. 898-915
Author(s):  
Jaya Shankar Vuppalapati ◽  
Santosh Kedari ◽  
Anitha Ilapakurti ◽  
Chandrasekar Vuppalapati ◽  
Sharat Kedari ◽  
...  
Keyword(s):  
Machine Learning ◽  
Computer Vision ◽  
Skin Texture

scholarly journals A Randomized, Controlled Clinical Trial of Autologous Adipose-derived Stem Cell Transplantation to Promote Mechanical Stretch-induced Skin Regeneration

2020 ◽  
Author(s):  
Poh-Ching Tan ◽  
Pei-Chuan Chao ◽  
Chen Cheng ◽  
Chu-Hsin Chen ◽  
Ru-Lin Huang ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Stem Cells ◽  
Mechanical Stretch ◽  
Skin Regeneration ◽  
Control Group ◽  
Controlled Clinical Trial ◽  
Skin Thickness ◽  
Adipose Derived Stem Cells ◽  
Skin Texture ◽  
Mechanical Stretching

Abstract Background: The regeneration response of skin to mechanical stretching in vivo has been explored in reconstructive surgery for repairing large-scale deformities. The ability of skin to regenerate limits the reconstructive outcome. Here, we propose an approach in which autologous adipose-derived stem cells and mechanical stretching are combined to overcome this limitation and promote skin regeneration.Methods: This randomized, blinded, placebo-controlled clinical trial screened 22 participants undergoing tissue expansion with a presence of exhausted regeneration. Twenty eligible participants received intradermal injections with stromal vascular fraction (SVF) or placebo treatments. Follow-ups were conducted at 4, 8, and 12-weeks to assess efficacy and for 2-years to assess safety. The primary endpoint was the expanded skin thickness at 12 weeks. The secondary endpoints included the skin thickness at 4 and 8 weeks, the expansion index (EI) and the skin texture score at all visits. Results: The skin thickness of the SVF group was significantly higher than that of the control group at both 8 weeks (mean difference 0.78 [95% CI -1.43 to -0.11]; p = 0.018) and 12 weeks(0.65 [95% CI -1.30 to -0.01]; p = 0.046). In the SVF group, the increment of skin thickness was significant at 4 weeks (0.49 [95% CI -0.80 to -0.06]; p = 0.010) to 8 weeks (0.45 [95% CI -0.92 to 0.02]; p = 0.026) and maintained after 12 weeks, whereas that in the control group was reduced after 8 weeks (0.42 [95% CI -0.07 to 0.91]; p = 0.037). The SVF group showed higher EI increments than the control group (0.50 [95% CI -0.00 to 0.99]; p = 0.047). The skin texture scores in the SVF group were higher than those in the control group at 12 weeks. Histologically, the SVF-treated expanded skin showed more proliferating cells and blood vessels, and the volume of extracellular matrix increased. No severe adverse events occurred.Conclusions: Transplantation of autologous adipose-derived stem cells can expedite the potency of mechanical stretch-induced skin regeneration and provide clinical reconstruction with plentiful tissue. Trial registration: This trial was registered with Chinese Clinical Trial, ChiCTR2000039317 (registered 23 Oct 2020 - retrospectively registered, http://www.chictr.org.cn/showproj.aspx?proj=62738).

Sa-Oiliness: A System to Measure Oiliness of Distant Subject Using Image Processing

2011 ◽  
Vol 403-408 ◽  
pp. 4462-4468
Author(s):  
Anand Gupta ◽  
Rachit Garg ◽  
Shruti Suri
Keyword(s):  
Image Processing ◽  
Medical Examination ◽  
Facial Skin ◽  
Dry Skin ◽  
Weighted Mean ◽  
Skin Texture ◽  
Skin Examination ◽  
Specific Instrument ◽  
Relative Value ◽  
Physical Presence

In medical examination of skin texture, an expert is generally needed to examine the skin texture thoroughly. It is felt that the same can be achieved through image processing, wherein a skin expert or physical presence of the patient are not needed on the spot. In the distant skin examination, expertise is required in analyzing the skin texture as appeared on the image. The texture is evaluated on the basis of oiliness of the skin, which is measured by a specific instrument [5]. As per our knowledge, the instrument is not readily available. To overcome this problem, a framework (SA-OILINESS) is proposed in this paper. It is designed so as to provide a scale to measure oiliness of facial skin through an image of a standard resolution. The proposed approach is based on the principle that the intensity of light from an oily skin is comparatively higher than that from a dry skin. Images of test subjects are taken at the same time and using the approach of weighted mean of the intensity of light reflected from the marked forehead region a scale of oiliness is developed. The scale is used to measure the relative value of oiliness.

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