Dual-wavelengths photoacoustic temperature measurement

光学 激光器 波长 生物医学中的光声成像 穿透深度 温度测量 信号(编程语言) 灵敏度(控制系统) 材料科学 光声效应 光电子学 光声光谱学 生物医学工程 计算机科学 物理 电子工程 医学 量子力学 程序设计语言 工程类
作者
Yu-Kuang Liao,Xiaohua Jian,Fenglin Dong,Yaoyao Cui
出处
期刊:Proceedings of SPIE 卷期号:10256: 102561K-102561K 被引量:8
标识
DOI:10.1117/12.2256956
摘要

Thermal therapy is an approach applied in cancer treatment by heating local tissue to kill the tumor cells, which requires a high sensitivity of temperature monitoring during therapy. Current clinical methods like fMRI,near infrared or ultrasound for temperature measurement still have limitations on penetration depth or sensitivity. Photoacoustic temperature sensing is a newly developed temperature sensing method that has a potential to be applied in thermal therapy, which usually employs a single wavelength laser for signal generating and temperature detecting. Because of the system disturbances including laser intensity, ambient temperature and complexity of target, the accidental errors of measurement is unavoidable. For solving these problems, we proposed a new method of photoacoustic temperature sensing by using two wavelengths to reduce random error and increase the measurement accuracy in this paper. Firstly a brief theoretical analysis was deduced. Then in the experiment, a temperature measurement resolution of about 1℃ in the range of 23-48℃ in ex vivo pig blood was achieved, and an obvious decrease of absolute error was observed with averagely 1.7℃ in single wavelength pattern while nearly 1℃ in dual-wavelengths pattern. The obtained results indicates that dual-wavelengths photoacoustic sensing of temperature is able to reduce random error and improve accuracy of measuring, which could be a more efficient method for photoacoustic temperature sensing in thermal therapy of tumor.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
宸哥完成签到,获得积分10
刚刚
眯眯眼的衬衫应助yanyan采纳,获得10
2秒前
Yue完成签到 ,获得积分10
2秒前
无限的含羞草完成签到,获得积分10
3秒前
大个应助WZ0904采纳,获得10
4秒前
Sofia发布了新的文献求助60
7秒前
8秒前
橘子姐姐发布了新的文献求助10
9秒前
yanyan完成签到,获得积分10
10秒前
TT完成签到,获得积分10
11秒前
11秒前
了然完成签到 ,获得积分10
12秒前
jxp完成签到,获得积分10
12秒前
jojo完成签到 ,获得积分10
13秒前
13秒前
勤劳落雁完成签到 ,获得积分10
13秒前
16秒前
爆米花应助科研通管家采纳,获得30
16秒前
顾矜应助科研通管家采纳,获得10
16秒前
16秒前
17秒前
田様应助科研通管家采纳,获得10
17秒前
科目三应助科研通管家采纳,获得10
17秒前
李爱国应助科研通管家采纳,获得10
17秒前
打打应助科研通管家采纳,获得10
17秒前
RC_Wang应助科研通管家采纳,获得10
17秒前
科研通AI5应助科研通管家采纳,获得10
17秒前
17秒前
星辰大海应助科研通管家采纳,获得10
17秒前
CipherSage应助科研通管家采纳,获得10
17秒前
赘婿应助Quzhengkai采纳,获得10
17秒前
sutharsons应助科研通管家采纳,获得30
17秒前
李爱国应助科研通管家采纳,获得30
18秒前
18秒前
18秒前
调研昵称发布了新的文献求助10
18秒前
CodeCraft应助清新的苑博采纳,获得10
19秒前
所所应助Chen采纳,获得10
20秒前
22秒前
22秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527961
求助须知:如何正确求助?哪些是违规求助? 3108159
关于积分的说明 9287825
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540070
邀请新用户注册赠送积分活动 716926
科研通“疑难数据库(出版商)”最低求助积分说明 709808