A novel multiscale nonlinear thresholding method for ultrasonic speckle suppressing

This paper presents a novel speckle suppression method for medical B-scan ultrasonic images. An original image is first separated into two parts with an adaptive filter. These two parts are then transformed into a multiscale wavelet domain and the wavelet coefficients are processed by a soft thresho...

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Bibliographic Details
Published inIEEE transactions on medical imaging Vol. 18; no. 9; pp. 787 - 794
Main Authors Hao, X, Gao, S, Gao, X
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.09.1999
Institute of Electrical and Electronics Engineers
Subjects
Adaptive filtering
Adaptive filters
Animals
Back
Biological and medical sciences
Biomedical imaging
Computer Simulation
Echocardiography - methods
Heart
Image Enhancement - methods
Image Processing, Computer-Assisted
In vitro
Interference suppression
Investigative techniques, diagnostic techniques (general aspects)
Medical sciences
Miscellaneous. Technology
Noise reduction
Speckle
Swine
Testing
Ultrasonic imaging
Ultrasonic investigative techniques
Wavelet coefficients
Wavelet domain
Wavelet transforms
Sonography
Threshold detection
Speckle
Artefact
Non linear system
In vitro
Pig
Image quality
Vertebrata
Improvement
Mammalia
Multiscale method
Animal
Myocardium
Artiodactyla
Circulatory system
Ungulata
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ISSN0278-0062
DOI10.1109/42.802756

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Summary:This paper presents a novel speckle suppression method for medical B-scan ultrasonic images. An original image is first separated into two parts with an adaptive filter. These two parts are then transformed into a multiscale wavelet domain and the wavelet coefficients are processed by a soft thresholding method, which is a variation of Donoho's (1995) soft thresholding method. The processed coefficients for each part are then transformed back into the space domain. Finally, the denoised image is obtained as the sum of the two processed parts. A computer-simulated image and an in vitro B-scan image of a pig heart have been used to test the performance of this new method. This technique effectively reduces the speckle noise, while preserving the resolvable details. It performs well in comparison to the multiscale thresholding technique without adaptive preprocessing and two other speckle-suppression methods.
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ISSN:0278-0062
DOI:10.1109/42.802756