Noninvasive Temperature Estimation Using B-Scan Image For Thermal Therapy

被引：0

作者：

Li, Wei ^{[1
]}

Kan, Tao ^{[1
]}

Xiao, Xiangling ^{[1
]}

Niu, Jinghai ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Coll Life Sci & Technol, Shanghai 200240, Peoples R China

来源：

APCMBE 2008: 7TH ASIAN-PACIFIC CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING | 2008年 / 19卷

关键词：

Temperature estimation; Ultrasound image; Hyperthermia; Noninvasive;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Noninvasive temperature estimation is a key and tough problem in hyperthermia. Here, we design a novel experiment to demonstrate the relationship between B-mode ultrasonic image grey scale and tissue temperature. In our experiment, negative effect of pixel shift caused by temperature change is avoided successfully. Experiments with animal tissue (chick heart, pig muscle and pig liver in vitro), indicate the average grey scale (AGS) of ultrasonic images is correlated with the temperature. This gives a potential method to estimation temperature from B-mode ultrasonic imaging, which will be more convenient, safe and economical than other methods.

引用

页码：542 / 545

页数：4

共 50 条

[1] Texture analysis of B-scan image using fractal dimension
Liu, Fang
Cheng, Jingzhi
Shengwu Yixue Gongchengxue Zazhi/Journal of Biomedical Engineering, 1999, 16 (03): : 329 - 332
[2] B-SCAN TEXTURE ANALYSIS BY IMAGE SEGMENTATION
MAILLOUX, GE
STAMPFLER, R
ETHEIR, S
BERTRAND, M
ULTRASONIC IMAGING, 1983, 5 (02) : 189 - 189
[3] B-Scan image that processed by CNN and wavelets
Li, Guo-Dong
Min, Le-Quan
Zang, Hong-Yan
Wang, Jiang-He
Hong, Hui-Wen
Liu, Yan-Ling
PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2007, : 1521 - +
[4] ESTIMATION OF PULSES IN ULTRASOUND B-SCAN IMAGES
JENSEN, JA
IEEE TRANSACTIONS ON MEDICAL IMAGING, 1991, 10 (02) : 164 - 172
[5] Estimation of foveal avascular zone area from a B-scan OCT image using machine learning algorithms
Toyama, Taku
Maruko, Ichiro
Zhou, Han Peng
Ikeda, Miki
Hasegawa, Taiji
Iida, Tomohiro
Aihara, Makoto
Ueta, Takashi
PLOS ONE, 2024, 19 (12):
[6] An Automatic GPR B-Scan Image Interpreting Model
Zhou, Xiren
Chen, Huanhuan
Li, Jinlong
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 56 (06): : 3398 - 3412
[7] Some information of B-Scan image that detected by CNN
Li, Guodong
Min, Lequan
Zang, Hongyan
Wang, Jianghe
Hong, Huiwen
Liu, Yanling
2006 IEEE INTERNATIONAL CONFERENCE ON INFORMATION ACQUISITION, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, 2006, : 819 - 823
[8] Rail Flaw B-Scan Image Analysis Using a Hierarchical Classification Model
Hu, Guoxi
Li, Jie
Jing, Guoqing
Aela, Peyman
INTERNATIONAL JOURNAL OF STEEL STRUCTURES, 2024, : 389 - 401
[9] Fast and accurate estimation of the pig backfat thickness from B-scan image with FCN model
Lijuan Z.
Li C.
Li L.
Hai W.
Siqing C.
Ketian W.
Liang Z.
Jinyong W.
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2022, 38 (12): : 183 - 188
[10] Using ultrasonic pulse-echo B-scan signals for estimation of time of flight
Hoseini, Mohammad R.
Zuo, Ming J.
Wang, Xiaodong
MEASUREMENT, 2013, 46 (09) : 3593 - 3599

← 1 2 3 4 5 →