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