The study of multiwavelength photoacoustic temperature measurement based on different weight factor algorithms
Photoacoustic temperature measurement (PATM) is a real-time, non-contact, and high sensitivity method, which can satisfy the requirements of spatial and temperature resolution in clinical application. But PATM has been traditionally challenging to measure temperature without knowing the baseline tem...
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doaj-a55e8125a8c442edb6fb22c035d592912021-06-08T04:44:28ZengElsevierResults in Optics2666-95012020-11-011100015The study of multiwavelength photoacoustic temperature measurement based on different weight factor algorithmsXiaohua Jian0Ninghao Wang1Zhangjian Li2Yaoyao Cui3Fenglin Dong4Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China; Corresponding authors.Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, ChinaSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, ChinaSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, ChinaDepartment of Ultrasound, First Affiliated Hospital of Soochow University, Suzhou 215163, China; Corresponding authors.Photoacoustic temperature measurement (PATM) is a real-time, non-contact, and high sensitivity method, which can satisfy the requirements of spatial and temperature resolution in clinical application. But PATM has been traditionally challenging to measure temperature without knowing the baseline temperature. Multiwavelength PATM is an effective way to improve this problem, but previous studies have only averaged measurements, so the improvements were limited. Therefore, aiming to further reduce the system error and improve the measurement accuracy and reliability of multiwavelength PATM, four different weight factor optimization methods, including the arithmetic mean, the coefficient of determination, the error variance, and the least squares, were studied in this paper. Using the basic theories of multiwavelength PATM and statistical optimization algorithm, the theoretical feasibility of optimization methods were analyzed. The ex-vivo tissue experimental results indicate that the optimization algorithm can effectively reduce the measurement error to 0.065 °C, which is almost five times higher than the conventional single wavelength method.http://www.sciencedirect.com/science/article/pii/S2666950120300158Multiwavelength photoacoustic temperature measurementOptimization algorithmPhotoacoustic temperature measurement |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiaohua Jian Ninghao Wang Zhangjian Li Yaoyao Cui Fenglin Dong |
spellingShingle |
Xiaohua Jian Ninghao Wang Zhangjian Li Yaoyao Cui Fenglin Dong The study of multiwavelength photoacoustic temperature measurement based on different weight factor algorithms Results in Optics Multiwavelength photoacoustic temperature measurement Optimization algorithm Photoacoustic temperature measurement |
author_facet |
Xiaohua Jian Ninghao Wang Zhangjian Li Yaoyao Cui Fenglin Dong |
author_sort |
Xiaohua Jian |
title |
The study of multiwavelength photoacoustic temperature measurement based on different weight factor algorithms |
title_short |
The study of multiwavelength photoacoustic temperature measurement based on different weight factor algorithms |
title_full |
The study of multiwavelength photoacoustic temperature measurement based on different weight factor algorithms |
title_fullStr |
The study of multiwavelength photoacoustic temperature measurement based on different weight factor algorithms |
title_full_unstemmed |
The study of multiwavelength photoacoustic temperature measurement based on different weight factor algorithms |
title_sort |
study of multiwavelength photoacoustic temperature measurement based on different weight factor algorithms |
publisher |
Elsevier |
series |
Results in Optics |
issn |
2666-9501 |
publishDate |
2020-11-01 |
description |
Photoacoustic temperature measurement (PATM) is a real-time, non-contact, and high sensitivity method, which can satisfy the requirements of spatial and temperature resolution in clinical application. But PATM has been traditionally challenging to measure temperature without knowing the baseline temperature. Multiwavelength PATM is an effective way to improve this problem, but previous studies have only averaged measurements, so the improvements were limited. Therefore, aiming to further reduce the system error and improve the measurement accuracy and reliability of multiwavelength PATM, four different weight factor optimization methods, including the arithmetic mean, the coefficient of determination, the error variance, and the least squares, were studied in this paper. Using the basic theories of multiwavelength PATM and statistical optimization algorithm, the theoretical feasibility of optimization methods were analyzed. The ex-vivo tissue experimental results indicate that the optimization algorithm can effectively reduce the measurement error to 0.065 °C, which is almost five times higher than the conventional single wavelength method. |
topic |
Multiwavelength photoacoustic temperature measurement Optimization algorithm Photoacoustic temperature measurement |
url |
http://www.sciencedirect.com/science/article/pii/S2666950120300158 |
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