@inproceedings{152bbcae5d784370ae3c35381935db73,
title = "Detection of individual microbubbles using wavelet transform based on a theoretical bubble oscillation model",
abstract = "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 (ENR in) 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.",
author = "Yujin Zong and Bin Li and Mingxi Wan and Supin Wang",
year = "2006",
doi = "10.1007/11881223\_44",
language = "英语",
isbn = "3540459073",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "354--363",
booktitle = "Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings",
note = "2nd International Conference on Natural Computation, ICNC 2006 ; Conference date: 24-09-2006 Through 28-09-2006",
}