【摘 要】
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To improve the low-dose CT(LDCT)imaging quality,we proposed a new processing approach based on the morphological component analysis(MCA),with the integratio
【出 处】
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Computational Biomedical Imaging Workshop(2015计算生物医学成像研讨会)
论文部分内容阅读
To improve the low-dose CT(LDCT)imaging quality,we proposed a new processing approach based on the morphological component analysis(MCA),with the integration of the wavelet transform.The new approach integrates the advantages of MCA with those of wavelet transform,leading to a good performance for removal of the artifacts from LDCT images.More specifically,the new approach decomposes the LDCT images by two-dimensional wavelet transform.MCA is then applied to each of the high-frequency components for removal of the artifacts.The improved LDCT images are finally obtained by the inverse wavelet transform.Through analyzing the effect of processing the degenerated LDCT images,the validity and superiority of the new algorithm were verified.
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