Title :
Study on adopting optimum binary phase serial to enhance SNR and Penetrating of Ultrasonic Images
Author :
Miao, Yalin ; Hu, Lan ; Yang, Yan ; Hao, Hongfei
Author_Institution :
Fac. of Printing & Packaging Eng., Xi´´an Univ. of Technol., Xi´´an, China
Abstract :
This paper present adopting optimum binary phase serial to enhance signal to noise ratio and Penetrating of Ultrasonic Images. It combine the advanced theory of radar, spread spectrum communication theory and technique of pulse reflection ultrasound imaging. It completely expatiates the feasibility of coded pulse compression technique applied to medical ultrasound system. Since the signal to clutter ratio (SCR) couldn´t meet the requirement of medical ultrasound imaging when adopting self-correlation decoding for optimum binary phase serial, this paper presents the CSIFIR(codes spectrum inverse filter) decoding filter and practical and efficient solutions based on the least mean square. The results show the validity of theories and the efficiency of the methods.
Keywords :
biomedical ultrasonics; decoding; image coding; image enhancement; least mean squares methods; medical image processing; pulse compression; CSIFIR decoding filter; SNR enhancement; coded pulse compression; codes spectrum inverse filter; least mean square; optimum binary phase serial; pulse reflection ultrasound imaging; self-correlation decoding; signal-to-clutter ratio; signal-to-noise ratio; spread spectrum communication theory; ultrasonic images; Acoustics; Biomedical imaging; Encoding; Filtering theory; Scattering; Signal resolution; Ultrasonic imaging; optimum binary phase serial; penetrating; signal to clutter ratio (SCR); ultrasound imaging;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
DOI :
10.1109/BMEI.2010.5640014