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• W2143581454 abstract "Ultrasonic image segmentation is a difficult problem due to speckle noise, low contrast, and local changes of intensity. Intensity-based methods do not perform particularly well on ultrasound images. However, it has been previously shown that these images respond well to local phase-based methods which are theoretically intensity invariant. Here, we use level set propagation to capture the left ventricle boundaries. The proposed approach uses a new speed term based on local phase and local orientation derived from the monogenic signal, which makes the algorithm robust to attenuation artifact. Furthermore, we use Cauchy kernels, as a better alternative to the commonly used log-Gabor, as pair of quadrature filters for the feature extraction. Results on synthetic and natural data show that the proposed method can robustly handle noise, and captures well the low contrast boundaries." @default.
• W2143581454 created "2016-06-24" @default.
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• W2143581454 date "2011-01-01" @default.
• W2143581454 modified "2023-10-17" @default.
• W2143581454 title "Phase-Based Level Set Segmentation of Ultrasound Images" @default.
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• W2143581454 doi "https://doi.org/10.1109/titb.2010.2090889" @default.
• W2143581454 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21216695" @default.
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