Model predictive thermal dose control of a robotic laser system to automate skin photorejuvenation
Model predictive thermal dose control of a robotic laser system to automate skin photorejuvenation
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.
Cosmetic dermatology, Mechatronic systems, Model predictive control, Robotics, Thermal imaging, Heating systems, model predictive control, Biological system modeling, robotics, Laser beams, thermal imaging, Temperature sensors, Laser modes, Skin, mechatronic systems, Robots
1-11
Muddassir, Muhammad
fd577a36-39cd-404c-8b14-e0b72aabec4a
Limbert, Georges
a1b88cb4-c5d9-4c6e-b6c9-7f4c4aa1c2ec
Zhang, Bin
46bab9b1-ab53-4714-bdea-e40be59ed7c4
Duan, Anqing
963a9565-def4-41c7-95f5-ab0ce29c7195
Tan, Jun-Jong
a0f638bd-bbe3-4f23-9530-275d9d5413af
Navarro-Alarcon, David
2d869a9f-719e-4741-9b1a-789a476b693c
Muddassir, Muhammad
fd577a36-39cd-404c-8b14-e0b72aabec4a
Limbert, Georges
a1b88cb4-c5d9-4c6e-b6c9-7f4c4aa1c2ec
Zhang, Bin
46bab9b1-ab53-4714-bdea-e40be59ed7c4
Duan, Anqing
963a9565-def4-41c7-95f5-ab0ce29c7195
Tan, Jun-Jong
a0f638bd-bbe3-4f23-9530-275d9d5413af
Navarro-Alarcon, David
2d869a9f-719e-4741-9b1a-789a476b693c
Muddassir, Muhammad, Limbert, Georges, Zhang, Bin, Duan, Anqing, Tan, Jun-Jong and Navarro-Alarcon, David
(2022)
Model predictive thermal dose control of a robotic laser system to automate skin photorejuvenation.
IEEE/ASME Transactions on Mechatronics, .
(doi:10.1109/TMECH.2022.3218806).
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.
Text
Mudassir-Limbert et al. (2022)
- Accepted Manuscript
More information
Accepted/In Press date: 21 October 2022
e-pub ahead of print date: 18 November 2022
Additional Information:
Publisher Copyright:
IEEE
Keywords:
Cosmetic dermatology, Mechatronic systems, Model predictive control, Robotics, Thermal imaging, Heating systems, model predictive control, Biological system modeling, robotics, Laser beams, thermal imaging, Temperature sensors, Laser modes, Skin, mechatronic systems, Robots
Identifiers
Local EPrints ID: 471733
URI: http://eprints.soton.ac.uk/id/eprint/471733
ISSN: 1083-4435
PURE UUID: 1b202a31-64ae-4a3c-892b-0d1420d3bf2a
Catalogue record
Date deposited: 17 Nov 2022 17:38
Last modified: 17 Mar 2024 07:34
Export record
Altmetrics
Contributors
Author:
Muhammad Muddassir
Author:
Bin Zhang
Author:
Anqing Duan
Author:
Jun-Jong Tan
Author:
David Navarro-Alarcon
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics