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PubMed · 15977394

[A medical ultrasonic image filtering method based on anisotropic diffusion].

Yun Peng·De-yu Li·Jiang-li Lin·Tian-fu Wang·Chang-qiong Zheng·Hong Tang·Li Rao
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Abstract

OBJECTIVE: To remove the speckle noise in ultrasonic images by using anisotropic diffusion method. METHOD: Based on anisotropic diffusion, a partial differential equation, of which the initial data was the input images, was transformed into differential forms and solved with iterations. The speckle scale function of the equation was modified to make better use in filtering medical ultrasonic images. RESULT: By comparing the results with other three filters, the anisotropic diffusion method could smooth the speckles very well and the edge of the image was also clear. CONCLUSION: Anisotropic diffusion can remove the speckle noise effectively and has great potential in filtering medical ultrasonic images.

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AnisotropyArtifactsDiffusionEchocardiographyImage EnhancementImage Processing, Computer-AssistedSensitivity and SpecificityUltrasonographyComparative StudyEnglish AbstractJournal Article

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Yun Peng, De-yu Li, Jiang-li Lin, Tian-fu Wang, Chang-qiong Zheng, Hong Tang, Li Rao. 2005. [A medical ultrasonic image filtering method based on anisotropic diffusion].. https://pubmed.ncbi.nlm.nih.gov/15977394/

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