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Proceedings Paper

Frequency-shift low-pass filtering and least mean square adaptive filtering for ultrasound imaging
Author(s): Shanshan Wang; Chunyu Li; Mingyue Ding; Ming Yuchi
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Paper Abstract

Ultrasound image quality enhancement is a problem of considerable interest in medical imaging modality and an ongoing challenge to date. This paper investigates a method based on frequency-shift low-pass filtering (FSLF) and least mean square adaptive filtering (LMSAF) for ultrasound image quality enhancement. FSLF is used for processing the ultrasound signal in the frequency domain, while LMSAPF in the time domain. Firstly, FSLF shifts the center frequency of the focused signal to zero. Then the real and imaginary part of the complex data are filtered respectively by finite impulse response (FIR) low-pass filter. Thus the information around the center frequency are retained while the undesired ones, especially background noises are filtered. Secondly, LMSAF multiplies the signals with an automatically adjusted weight vector to further eliminate the noises and artifacts. Through the combination of the two filters, the ultrasound image is expected to have less noises and artifacts and higher resolution, and contrast. The proposed method was verified with the RF data of the CIRS phantom 055A captured by SonixTouch DAQ system. Experimental results show that the background noises and artifacts can be efficiently restrained, the wire object has a higher resolution and the contrast ratio (CR) can be enhanced for about 12dB to 15dB at different image depth comparing to delay-and-sum (DAS).

Paper Details

Date Published: 1 April 2016
PDF: 6 pages
Proc. SPIE 9790, Medical Imaging 2016: Ultrasonic Imaging and Tomography, 97900P (1 April 2016); doi: 10.1117/12.2216066
Show Author Affiliations
Shanshan Wang, Key Lab. of Image Processing and Intelligent Control, Ministry of Education (China)
Huazhong Univ. of Science and Technology (China)
Chunyu Li, Key Lab. of Image Processing and Intelligent Control, Ministry of Education (China)
Huazhong Univ. of Science and Technology (China)
Mingyue Ding, Key Lab. of Image Processing and Intelligent Control, Ministry of Education (China)
Huazhong Univ. of Science and Technology (China)
Ming Yuchi, Key Lab. of Image Processing and Intelligent Control, Ministry of Education (China)
Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9790:
Medical Imaging 2016: Ultrasonic Imaging and Tomography
Neb Duric; Brecht Heyde, Editor(s)

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