DocumentCode :
3381533
Title :
A Method of Propagating Second Harmonic Suppression with Neural Network in Ultrasonic Imaging
Author :
Liu, Guidong ; Shen, Yi ; Wang, Yan ; He, Ping
Author_Institution :
Dept. of Electr. Eng., Harbin Inst. of Technol.
Volume :
3
fYear :
2005
fDate :
16-19 May 2005
Firstpage :
2033
Lastpage :
2035
Abstract :
This paper presents a novel approach based on neural networks to suppress propagating second harmonic in nonlinear imaging. Harmonic imaging can improve contrast between contrast agents and tissue when imaging microvasculature. However, the harmonics generated by the body decrease the contrast as the ultrasound signal propagates through it. Here, the method can improve contrast between contrast agents and the surrounding tissue for harmonic imaging. Simulations have shown the level of second harmonic signals can be reduced more using this method
Keywords :
biomedical ultrasonics; harmonic generation; image denoising; neural nets; ultrasonic imaging; contrast agents; harmonic imaging; image contrast; microvasculature imaging; neural network; nonlinear imaging; second harmonic suppression; ultrasonic imaging; ultrasound signal; Acoustic noise; Attenuation; Blood; Frequency; Harmonics suppression; Intelligent networks; Neural networks; Noise cancellation; Signal generators; Ultrasonic imaging; active noise cancellation system; neural networks; nonlinear imaging; propagating second harmonic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-8879-8
Type :
conf
DOI :
10.1109/IMTC.2005.1604530
Filename :
1604530
Link To Document :
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