Pixel fusion based curvelet denoise approach for medical ultrasonic images

Li Yong Ma; Jia Chen Ma; Yi Shen

Pixel fusion based curvelet denoise approach for medical ultrasonic images

Li Yong Ma^*
, Jia Chen Ma
, Yi Shen

^*Corresponding author for this work

School of Information Science and Engineering, Harbin Institute of Technology Weihai

Research output: Contribution to journal › Article › peer-review

Abstract

Objective: To explore efficient denoise method based on curvelet transfer for medical ultrasonic images. Methods: Curvelet denoise method and hidden Markov tree based wavelet method were applied to the ultrasonic images respectively, and fuzzy partition based pixel fusion was applied to the result images. Results: A pixel fusion based curvelet denoise approach for medical ultrasonic images was proposed. Conclusion: Simulation results of the approach applied to medical ultrasonic images demonstrate that the algorithm improves the visual quality of result images efficiently and suppresses the artifacts in result images evidently.

Original language	English
Pages (from-to)	934-936
Number of pages	3
Journal	Chinese Journal of Medical Imaging Technology
Volume	23
Issue number	6
State	Published - Jun 2007
Externally published	Yes

Keywords

Curvelet
Image denoise
Medical ultrasonic images

Cite this

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title = "Pixel fusion based curvelet denoise approach for medical ultrasonic images",

abstract = "Objective: To explore efficient denoise method based on curvelet transfer for medical ultrasonic images. Methods: Curvelet denoise method and hidden Markov tree based wavelet method were applied to the ultrasonic images respectively, and fuzzy partition based pixel fusion was applied to the result images. Results: A pixel fusion based curvelet denoise approach for medical ultrasonic images was proposed. Conclusion: Simulation results of the approach applied to medical ultrasonic images demonstrate that the algorithm improves the visual quality of result images efficiently and suppresses the artifacts in result images evidently.",

keywords = "Curvelet, Image denoise, Medical ultrasonic images",

author = "Ma, \{Li Yong\} and Ma, \{Jia Chen\} and Yi Shen",

year = "2007",

month = jun,

language = "英语",

volume = "23",

pages = "934--936",

journal = "Chinese Journal of Medical Imaging Technology",

issn = "1003-3289",

publisher = "Editorial Office - Chinese Journal of Interventional Imaging and Therapy",

number = "6",

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T1 - Pixel fusion based curvelet denoise approach for medical ultrasonic images

AU - Ma, Li Yong

AU - Ma, Jia Chen

AU - Shen, Yi

PY - 2007/6

Y1 - 2007/6

N2 - Objective: To explore efficient denoise method based on curvelet transfer for medical ultrasonic images. Methods: Curvelet denoise method and hidden Markov tree based wavelet method were applied to the ultrasonic images respectively, and fuzzy partition based pixel fusion was applied to the result images. Results: A pixel fusion based curvelet denoise approach for medical ultrasonic images was proposed. Conclusion: Simulation results of the approach applied to medical ultrasonic images demonstrate that the algorithm improves the visual quality of result images efficiently and suppresses the artifacts in result images evidently.

AB - Objective: To explore efficient denoise method based on curvelet transfer for medical ultrasonic images. Methods: Curvelet denoise method and hidden Markov tree based wavelet method were applied to the ultrasonic images respectively, and fuzzy partition based pixel fusion was applied to the result images. Results: A pixel fusion based curvelet denoise approach for medical ultrasonic images was proposed. Conclusion: Simulation results of the approach applied to medical ultrasonic images demonstrate that the algorithm improves the visual quality of result images efficiently and suppresses the artifacts in result images evidently.

KW - Curvelet

KW - Image denoise

KW - Medical ultrasonic images

UR - https://www.scopus.com/pages/publications/34447282459

M3 - 文章

AN - SCOPUS:34447282459

SN - 1003-3289

VL - 23

SP - 934

EP - 936

JO - Chinese Journal of Medical Imaging Technology

JF - Chinese Journal of Medical Imaging Technology

IS - 6

ER -

Pixel fusion based curvelet denoise approach for medical ultrasonic images

Abstract

Keywords

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