Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/110655
Type of publication: Straipsnis Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or / and Scopus (S1)
Field of Science: Biologija / Biology (N010)
Author(s): Maciulevičius, Martynas;Tiwari, Kumar Anubhav;Navickaitė, Diana;Chopra, Sonam;Šatkauskas, Saulius;Raišutis, Renaldas
Title: Optimization of microbubble side-scattering signal analysis for efficient cavitation dosimetry
Is part of: Biomedical signal processing and control. Oxford : Elsevier Science, 2021, vol. 63
Extent: p. 1-10
Date: 2021
Keywords: Ultrasound;Side-scattering;Wavelet;Microbubbles;Sonoporation
Abstract: In this study microbubble (MB) cavitation signal analysis was performed in both pressure and exposure duration domains of the acoustic field with the aim to optimize current cavitation dosimetry model by the application of signal processing. The discrete wavelet transform is applied to denoise the non-stationary US signals. For the development of universal cavitation dosimetry model and unification of cavitation dosimetry protocols, we have defined the optimal frequency range to be associated with the highest values of differential inertial cavitation dose (ICD). At our experimental conditions, it was evaluated to be 1.5–1.8 MHz, as ICD, quantified in this frequency band, is clearly distinguished from ICD of other frequency ranges. The explicitly high RMS values, obtained in 1.5–1.8 MHz frequency range, not only allow to track MB dynamics with the highest accuracy but also perform sonoporation optimization in exposure duration scale by RMS decrease to the background level. For sonoporation temporal dosimetry we have introduced “MB survival time” - the estimate, based on system output characteristics and directly related to sonoporation outcome. The rate of “MB survival time” has high correlation (R = 0.85, p < 0.05) with pre-existing index, ICD, and therefore, implies a possibility to be used for dosimetric applications for US-mediated drug and gene delivery.The rate of “MB survival time” is a time-dependent measure, which implies universal result reproducibility, as it is possible to relate absolute values of time-dependent indexes to particular in vitro/in vivo bioeffects
Internet: https://doi.org/10.1016/j.bspc.2020.102235
Affiliation(s): Biologijos katedra
Gamtos mokslų fakultetas
Kauno technologijos universitetas
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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