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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| Published in | Results in optics Vol. 1; p. 100015 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
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Elsevier B.V
01.11.2020
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2666-9501 2666-9501 |
| DOI | 10.1016/j.rio.2020.100015 |
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| Abstract | 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. |
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| AbstractList | 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. |
| ArticleNumber | 100015 |
| Author | Li, Zhangjian Wang, Ninghao Cui, Yaoyao Jian, Xiaohua Dong, Fenglin |
| Author_xml | – sequence: 1 givenname: Xiaohua orcidid: 0000-0001-8644-2683 surname: Jian fullname: Jian, Xiaohua email: jianxh@sibet.ac.cn organization: Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China – sequence: 2 givenname: Ninghao surname: Wang fullname: Wang, Ninghao organization: Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China – sequence: 3 givenname: Zhangjian surname: Li fullname: Li, Zhangjian organization: Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China – sequence: 4 givenname: Yaoyao surname: Cui fullname: Cui, Yaoyao organization: Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China – sequence: 5 givenname: Fenglin surname: Dong fullname: Dong, Fenglin email: 13771978973@163.com organization: Department of Ultrasound, First Affiliated Hospital of Soochow University, Suzhou 215163, China |
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| Keywords | Multiwavelength photoacoustic temperature measurement Optimization algorithm Photoacoustic temperature measurement |
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| Title | The study of multiwavelength photoacoustic temperature measurement based on different weight factor algorithms |
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