Usefulness Evaluation of Algorithm for Reducing Noise and Artifact in CT Guided Biopsy Using Fine Needles

Soo-Been Lee, Sang-Hun Kim, Dong-Chan Sung, Wan-Youk Kim
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Abstract

This study analyzed the usefulness of standard, bone, edge and FBP, ASIR, ASIR-V, MAR algorithm to reduce noise caused by low mA and to reduce artifacts caused by fine needle. The CT number value measured through the phantom study was higher in order of MAR, edge, bone, and standard algorithm. In the case of using the ASIR-V in the algorithm excluding MAR, the noise value was reduced compared to the case of using ASIR. In particular, the edge algorithm showed an average noise reduction effect of 4.59times when ASIR-V was applied compared to other algorithms and also scored high in the sharpness of the fine needle. MAR algorithm has the highest CT number and the lowest noise value, but it is difficult to apply clinically because of the severe distortion of the fine needles. As a result of this study, it is considered that the application of edge algorithm with ASIR-V algorithm will be more useful than the application of MAR algorithm in CT examination using fine needles.
CT引导细针活检降噪与伪影算法的有效性评价
本研究分析了标准、骨、边缘和FBP、ASIR、ASIR- v、MAR算法在降低低mA引起的噪声和减少细针引起的伪影方面的有效性。幻影研究测得的CT数值依次为MAR、边缘、骨、标准算法。在排除MAR的算法中使用ASIR- v的情况下,噪声值比使用ASIR的情况有所降低。特别是边缘算法在应用ASIR-V时,平均降噪效果是其他算法的4.59倍,细针的清晰度也很高。MAR算法CT数最高,噪声值最低,但由于细针畸变严重,难以在临床上应用。因此,本研究认为在细针CT检查中,将边缘算法与ASIR-V算法结合使用将比使用MAR算法更有用。
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