Ultrasound image deconvolution in symmetrical mirror wavelet bases

被引：0

作者：

Yeoh, Wee Soon ^{[1
]}

Zhang, Cishen ^{[2
]}

Chen, Ming ^{[1
]}

Yan, Ming ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Nanyang Ave, Singapore 639798, Singapore

[2] Nanyang Technol Univ, Sch Chem & Biomed Engn, Singapore 639798, Singapore

来源：

MEDICAL IMAGING 2006: ULTRASONIC IMAGING AND SIGNAL PROCESSING | 2006年 / 6147卷

关键词：

deconvolution; mirror wavelet; denoising; generalized Gaussian distribution; Bayes estimator;

D O I：

10.1117/12.652635

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Observed medical ultrasound images are degraded representations of true tissue images. The degradation is a combination of blurring due to the finite resolution of the imaging system and the observation noise. This paper presents a new wavelet based deconvolution method for medical ultrasound imaging. We design a new orthogonal wavelet basis known as the symmetrical mirror wavelet basis that can provide more desirable frequency resolution. Our proposed ultrasound image restoration with wavelets consists of an inversion of the observed ultrasound image using the estimated two-dimensional (2-D) point spread function (PSF) followed by denoising in the designed wavelet basis. The tissue image restoration is then accomplished by modelling the tissue structures with the generalized Gaussian density (GGD) function using the Bayesian estimation. Both subjective and objective measures show that the deconvolved images are more appealing in the visualization and resolution gain.

引用

页数：10

共 14 条

[1] HIGHER-ORDER SPECTRA BASED DECONVOLUTION OF ULTRASOUND IMAGES [J].

ABEYRATNE, UR ;

PETROPULU, AP ;

REID, JM .

IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 1995, 42 (06) :1064-1075

[2] Adaptive wavelet thresholding for image denoising and compression [J].

Chang, SG ;

Yu, B ;

Vetterli, M .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2000, 9 (09) :1532-1546

[3]

COIFMAN R. R., 1995, Wavelets and statistics, P125, DOI DOI 10.1007/978-1-4612-2544-7_9

[4] DECONVOLUTION OF ULTRASOUND IMAGES [J].

JENSEN, JA .

ULTRASONIC IMAGING, 1992, 14 (01) :1-15

[5] Deconvolution by thresholding in mirror wavelet bases [J].

Kalifa, J ;

Mallat, S ;

Rougé, B .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2003, 12 (04) :446-457

[6]

KALIFA J, 1999, P SOC PHOTO-OPT INS, V3818, P42

[7]

MALLAT S, 1999, WAVLET TOUR SIGNAL P

[8] A THEORY FOR MULTIRESOLUTION SIGNAL DECOMPOSITION - THE WAVELET REPRESENTATION [J].

MALLAT, SG .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1989, 11 (07) :674-693

[9]

Simoncelli E. P., 1999, Bayesian Inference in Wavelet Based Models, P291, DOI DOI 10.1007/978-1-4612-0567-8

[10]

Simoncelli Eero P., 1996, P IEEE INT C IM PROC, V1, P379

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