Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/99416
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Title: Model predictive thermal dose control of a robotic laser system to automate skin photorejuvenation
Authors: Muddassir, M 
Limbert, G
Zhang, B 
Duan, A 
Tan, JJ 
Navarro-Alarcon, D 
Issue Date: Apr-2023
Source: IEEE/ASME transactions on mechatronics, Apr. 2023, v. 28, no. 2, , p. 737-747
Abstract: In this article, we present a new method to control the thermal stimulation of skin during a photorejuvenation procedure. The proposed method can precisely administer the thermal dose while controlling the tissue's temperature under a safe limit. For that, a model-based treatment controller is developed and evaluated on a 3-D biophysics-based numerical model of skin. A hardware implementation is experimentally tested on a gelatin-based phantom tissue subjected to pulsed laser irradiation. A key component of our method is the use of a new thermal dose metric that enables quantifying and controlling the skin photorejuvenation process. This metric represents a suitable alternative to the lack of consensus on the metrics used by the photodermatology community. The reported experiments demonstrate that the developed controller endowed with the proposed dose unit can automatically deliver a prescribed laser irradiation and thermal dose over the tissue surface. The significance of our result is that it provides a control-theoretic framework to automate skin photorejuvenation treatments with thermal-guided robots. This approach has the potential to introduce standards in the automation of these types of phototreatments.
Keywords: Cosmetic dermatology
Mechatronic systems
Model predictive control
Robotics
Thermal imaging
Publisher: Institute of Electrical and Electronics Engineers Inc.
Journal: IEEE/ASME transactions on mechatronics 
ISSN: 1083-4435
EISSN: 1941-014X
DOI: 10.1109/TMECH.2022.3218806
Rights: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
The following publication M. Muddassir, G. Limbert, B. Zhang, A. Duan, J. -J. Tan and D. Navarro-Alarcon, "Model Predictive Thermal Dose Control of a Robotic Laser System to Automate Skin Photorejuvenation," in IEEE/ASME Transactions on Mechatronics, vol. 28, no. 2, pp. 737-747, April 2023 is available at https://doi.org/10.1109/TMECH.2022.3218806.
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