Image Processing Reference
In-Depth Information
First, we defined the target performance of Doppler audio processing and selected three
signal-processing systems. We developed processing algorithms and compared their
performances. Consequently, we confirmed that the complex IIR band-pass filter system has
an excellent response and a low calculation load. Next, we performed functional and
performance analyses by simulation with the data collected using a Doppler signal model
and a phantom. Conventionally, although in the anti-aliasing process unique to a Doppler
ultrasound system, the image and audio did not correspond, since it was applied only to a
spectrum image, we could solve this problem by this signal processing.
5. References
Araki, T. (1985). Illustration: The Communication System Theory and Reality, Kogaku Tosho
Co., Inc., Tokyo.
Baba, T., Miyajima, Y. & Toshiba Corp. (1998). Ultrasonic diagnosis equipment, open patent
official report of Japan, Provisional Publication No. 10-99332.
Baba, T. & Toshiba Corp. (2002). Ultrasonic diagnostic equipment and the Doppler signal
processing method, open patent official report of Japan, Provisional Publication of a
Patent 2002-325767.
Baba, T. (2004). The investigation of the audio direction separation in the Doppler
ultrasound system Part 1: The comparison of the digital signal processing
algorithm, Proceeding of Acoust. Soc. Jpn., Acoustic Imaging pp.29-33.
Baba, T. (2005). The investigation of the direction split technique of the Doppler ultrasound:
Comparison of six kinds of Doppler audio processing, J. Society of Signal Processing
Applications and Technology of Japan, Vol. 8, No. 2, pp.14-20.
Baba, T. (2006). Investigation of the audio direction separation in Doppler ultrasound
system: Signal processing of Doppler audio for aliasing, J. Acoust. Soc. of Jpn., Vol.
62, No. 3, 153-160.
Blauert, J. (1997). Spatial hearing Revised edition , The MIT Press, Cambridge, Massachusetts.
Bracewell R. N. (2000). The Fourier Transform and Its Aplications, McGraw-Hill Companies
Inc., Boston.
Cappellini, V., Constantinides, A. G. & Emiliani, P. (1983). DIGITAL FILTERS AND THEIR
APPLICATIONS (3 rd edition) , ACADEMIC PRESS INC. LTD., London
Jensen, J. A. (1996). Estimation of blood velocities using ultrasound: A signal processing approach ,
Cambridge University Press, New York
Jensen, J. A. (2001). A new estimator for vector velocity estimation, IEEE transaction on
UFFC, Vol. 48, No. 4, pp.886-894.
Koo, J., Otterson S. D. & Siemens Medical Systems Inc. (1997). Method and system for
Doppler ultrasound audio dealiasing, United States Patent US5676148.
Maeda, K., Sano, A., Takaie, H. & Hara, S. (2001). Wavelet Transform and Its Application,
Asakura Publishing Co., Ltd., Tokyo.
Mo, L. Y. L. & General Electric Company. (2001). Method and apparatus for dynamic noise
reduction for Doppler audio output, United States Patent US6251077.
Rabben, S. I. et al. (2002). Ultrasound-based vessel wall tracking: an auto-correlation
technique with RF center frequency estimation, Ultrasound in Med. & Biol., Vol. 28,
No. 4, pp.507-517.
Takaie H. & Tsujii S. (1995). Multirate Signal Processing Shokodo Co., Ltd., Tokyo.
Search WWH ::




Custom Search