Detection of Individual Microbubbles Using Wavelet Transform Based on a Theoretical Bubble Oscillation Model
Detection of Individual Microbubbles Using Wavelet Transform Based on a Theoretical Bubble Oscillation Model
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基于理论气泡振荡模型使用小波变换检测单个微气泡
DOI：
10.1007/11881223_44
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发表时间：
2006-09
期刊：
影响因子：
--
通讯作者：
中科院分区：
文献类型：
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作者：
Detecting individual microbubbles is important for the quantification of the amount of bubbles in the tissues, determination of microvascular volume and targeted microbubble imaging. We took the advantage of a theoretical bubble oscillation model to construct a matched wavelet,i.e.bubble wavelet as mother wavelet to detect individual microbubble using wavelet transform. The experimental echoes with different levels of added noises were processed. The results showed significant improvement even for an Echo-Noise-Ratio (ENRin) of -20 dB and the spatial location demonstrated very close agreement with the original experimental echo. This technique was much better than those based on harmonic analysis especially under the circumstance of short pulse insonation.
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影响因子：
8.3
作者：
Droste, DW;Lakemeier, S;Ringelstein, B
通讯作者：
Ringelstein, B
DOI：
--
发表时间：
2003-04
期刊：
--
影响因子：
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作者：
R. Lamerichs;T. Schaeffter;Y. Haemisch;J. Powers
通讯作者：
R. Lamerichs;T. Schaeffter;Y. Haemisch;J. Powers
DOI：
10.1063/1.4823127
发表时间：
1992-05
期刊：
Computers in Physics
影响因子：
--
作者：
I. Daubechies
通讯作者：
I. Daubechies
影响因子：
2.9
作者：
Shi, WT;Forsberg, F;Goldberg, BB
通讯作者：
Goldberg, BB
DOI：
--
发表时间：
1993-06
期刊：
--
影响因子：
--
作者：
N. Jong
通讯作者：
N. Jong