Literature DB >> 25343281

A study on the development of a robot-assisted automatic laser hair removal system.

Hyoung-Woo Lim1, Sungwoo Park, Seungwoo Noh, Dong-Hun Lee, Chiyul Yoon, Wooseok Koh, Youdan Kim, Jin Ho Chung, Hee Chan Kim, Sungwan Kim.   

Abstract

UNLABELLED: Abstract Background and Objective: The robot-assisted automatic laser hair removal (LHR) system is developed to automatically detect any arbitrary shape of the desired LHR treatment area and to provide uniform laser irradiation to the designated skin area.
METHODS: For uniform delivery of laser energy, a unit of a commercial LHR device, a laser distance sensor, and a high-resolution webcam are attached at the six axis industrial robot's end-effector, which can be easily controlled using a graphical user interface (GUI). During the treatment, the system provides real-time treatment progress as well as the total number of "pick and place" automatically.
RESULTS: During the test, it was demonstrated that the arbitrary shapes were detected, and that the laser was delivered uniformly. The localization error test and the area-per-spot test produced satisfactory outcome averages of 1.04 mm error and 38.22 mm(2)/spot, respectively.
CONCLUSIONS: RESULTS showed that the system successfully demonstrated accuracy and effectiveness. The proposed system is expected to become a promising device in LHR treatment.

Entities:  

Mesh:

Year:  2014        PMID: 25343281      PMCID: PMC4220705          DOI: 10.1089/pho.2014.3774

Source DB:  PubMed          Journal:  Photomed Laser Surg        ISSN: 1549-5418            Impact factor:   2.796


  16 in total

Review 1.  Laser hair removal.

Authors:  Omar A Ibrahimi; Mathew M Avram; C William Hanke; Suzanne L Kilmer; R Rox Anderson
Journal:  Dermatol Ther       Date:  2011 Jan-Feb       Impact factor: 2.851

2.  Incidence of side effects after laser hair removal.

Authors:  Sean W Lanigan
Journal:  J Am Acad Dermatol       Date:  2003-11       Impact factor: 11.527

3.  Non-ablative skin tightening with radiofrequency in Asian skin.

Authors:  Nobuharu Kushikata; Kei Negishi; Yukiko Tezuka; Kaori Takeuchi; Shingo Wakamatsu
Journal:  Lasers Surg Med       Date:  2005-02       Impact factor: 4.025

4.  A computational approach to edge detection.

Authors:  J Canny
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  1986-06       Impact factor: 6.226

5.  Temperature rise in biological tissue during Nd:YAG laser irradiation.

Authors:  R Marchesini; S Andreola; H Emanuelli; E Melloni; A Schiroli; P Spinelli; G Fava
Journal:  Lasers Surg Med       Date:  1985       Impact factor: 4.025

6.  Pulsed carbon dioxide and long pulse 10-ms erbium-YAG laser resurfacing: a comparative clinical and histologic study.

Authors:  R M Adrian
Journal:  J Cutan Laser Ther       Date:  1999-12

7.  Collagen tightening induced by carbon dioxide laser versus erbium: YAG laser.

Authors:  R E Fitzpatrick; E F Rostan; N Marchell
Journal:  Lasers Surg Med       Date:  2000       Impact factor: 4.025

Review 8.  Biological and clinical aspects in laser hair removal.

Authors:  J Lepselter; M Elman
Journal:  J Dermatolog Treat       Date:  2004-04       Impact factor: 3.359

9.  The spectrum of laser skin resurfacing: nonablative, fractional, and ablative laser resurfacing.

Authors:  Macrene R Alexiades-Armenakas; Jeffrey S Dover; Kenneth A Arndt
Journal:  J Am Acad Dermatol       Date:  2008-05       Impact factor: 11.527

10.  Automatic chessboard detection for intrinsic and extrinsic camera parameter calibration.

Authors:  Arturo de la Escalera; Jose María Armingol
Journal:  Sensors (Basel)       Date:  2010-03-15       Impact factor: 3.576

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  1 in total

Review 1.  Artificial intelligence in dermatology and healthcare: An overview.

Authors:  Varadraj Vasant Pai; Rohini Bhat Pai
Journal:  Indian J Dermatol Venereol Leprol       Date:  2021 [SEASON]       Impact factor: 2.545

  1 in total

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