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Sum-of-harmonics method for improved narrowband and broadband signal quantification during passive monitoring of ultrasound therapies
Arvanitis, C. D. , Bazan-Peregrino, M. , Rifai, B. , Seymour, L. W. , and Coussios, C. C. (2011). “ Cavitation-enhanced extravasation for drug delivery,” Ultrasound Med. Biol. 37, 1838–1852.
Arvanitis, C. D. , Livingstone, M. S. , and McDannold, N. (2013). “ Combined ultrasound and MR imaging to guide focused ultrasound therapies in the brain,” Phys. Med. Biol. 58, 4749–4761.
Chitnis, P. V. , Farny, C. , and Roy, R. A. (2015). “ Singular value decomposition: A better way to analyze cavitation-noise data,” J. Acoust. Soc. Am. 137, 2253.
Choi, J. J. , Carlisle, R. C. , Coviello, C. , Seymour, L. , and Coussios, C.-C. (2014). “ Non-invasive and real-time passive acoustic mapping of ultrasound-mediated drug delivery,” Phys. Med. Biol. 59, 4861–4877.
Choi, J. J. , and Coussios, C.-C. (2012). “ Spatiotemporal evolution of cavitation dynamics exhibited by flowing microbubbles during ultrasound exposure,” J. Acoust. Soc. Am. 132, 3538–3549.
Coussios, C. C. , Farny, C. H. , Ter Haar, G. , and Roy, R. A. (2007). “ Role of acoustic cavitation in the delivery and monitoring of cancer treatment by high-intensity focused ultrasound (HIFU),” Int. J. Hyperthermia 23, 105–120.
Coviello, C. , Kozick, R. , Choi, J. , Gyöngy, M. , Jensen, C. , Smith, P. P. , and Coussios, C.-C. (2015). “ Passive acoustic mapping utilizing optimal beamforming in ultrasound therapy monitoring,” J. Acoust. Soc. Am. 137, 2573–2585.
de Senneville, B. D. , Mougenot, C. , Quesson, B. , Dragonu, I. , Grenier, N. , and Moonen, C. T. W. (2007). “ MR thermometry for monitoring tumor ablation,” Eur. Radiol. 17, 2401–2410.
Graham, S. J. , Chen, L. , Leitch, M. , Peters, R. D. , Bronskill, M. J. , Foster, F. S. , Henkelman, R. M. , and Plewes, D. B. (1999). “ Quantifying tissue damage due to focused ultrasound heating observed by MRI,” Magn. Reson. Med. 41, 321–328.
Gyöngy, M. , and Coussios, C.-C. (2010b). “ Passive cavitation mapping for localization and tracking of bubble dynamics,” J. Acoust. Soc. Am. 128, EL175–EL180.
Hamilton, M. F. , and Blackstock, D. T. (1998). Nonlinear Acoustics ( Academic Press, New York).
Haworth, K. J. , Mast, T. D. , Radhakrishnan, K. , Burgess, M. T. , Kopechek, J. A. , Huang, S. L. , McPherson, D. D. , and Holland, C. K. (2012). “ Passive imaging with pulsed ultrasound insonations,” J. Acoust. Soc. Am. 132, 544–553.
Jensen, C. R. , Cleveland, R. O. , and Coussios, C. C. (2013). “ Real-time temperature estimation and monitoring of HIFU ablation through a combined modeling and passive acoustic mapping approach,” Phys. Med. Biol. 58, 5833–5850.
Jensen, C. R. , Ritchie, R. W. , Gyöngy, M. , Collin, J. R. T. , Leslie, T. , and Coussios, C.-C. (2012). “ Spatiotemporal monitoring of high-intensity focused ultrasound therapy with passive acoustic mapping,” Radiology 262, 252–261.
Jones, R. M. , O'Reilly, M. A. , and Hynynen, K. (2013). “ Transcranial passive acoustic mapping with hemispherical sparse arrays using CT-based skull-specific aberration corrections: A simulation study,” Phys. Med. Biol. 58, 4981–5005.
Khokhlova, V. A. , Bailey, M. R. , Reed, J. A. , Cunitz, B. W. , Kaczkowski, P. J. , and Crum, L. A. (2006). “ Effects of nonlinear propagation, cavitation, and boiling in lesion formation by high intensity focused ultrasound in a gel phantom,” J. Acoust. Soc. Am. 119, 1834–1848.
Khokhlova, V. A. , Fowlkes, J. B. , Roberts, W. W. , Schade, G. R. , Xu, Z. , Khokhlova, T. D. , Hall, T. L. , Maxwell A. D. , Wang Y.-N. , and Cain, C. A. (2015). “ Histotripsy methods in mechanical disintegration of tissue: Towards clinical applications,” Int. J. Hyperthermia 31, 145–162.
Kwan, J. J. , Graham, S. , Myers, R. , Carlisle, R. , Stride, E. , and Coussios, C. C. (2015a). “ Ultrasound-induced inertial cavitation from gas-stabilizing nanoparticles,” Phys. Rev. E 92, 023019.
Kwan, J. J. , Myers, R. , Coviello, C. M. , Graham, S. M. , Shah, A. R. , Stride, E. , Carlisle, R. C. , and Coussios, C. C. (2015b). “ Ultrasound-propelled nanocups for drug delivery,” Small 11, 5305–5314.
Lake, D. (1999). “ Efficient maximum likelihood estimation for multiple and coupled harmonics,” ARL-TR-2014.
McDannold, N. , Vykhodtseva, N. , and Hynynen, K. (2008). “ Blood-brain barrier disruption induced by focused ultrasound and circulating preformed microbubbles appears to be characterized by the mechanical index,” Ultrasound Med. Biol. 34, 834–840.
O'Reilly, M. A. , and Hynynen K. (2012). “ Blood-brain barrier: Real-time feedback-controlled focused ultrasound disruption by using an acoustic emissions-based controller,” Radiology 263, 96–106.
O'Reilly, M. A. , Jones, R. M. , and Hynynen, K. (2014). “ Three-dimensional transcranial ultrasound imaging of microbubble clouds using a sparse hemispherical array,” IEEE Trans. Biomed. Eng. 61, 1285–1294.
Quesson, B. , Laurent, C. , Maclair, G. , de Senneville, B. D. , Mougenot, C. , Ries, M. , Carteret, T. , Rullier, A. , and Moonen, C. T. W. (2011). “ Real-time volumetric MRI thermometry of focused ultrasound ablation in vivo: A feasibility study in pig liver and kidney,” NMR Biomed. 24, 145–153.
Rifai, B. , Arvanitis, C. D. , Bazan-Peregrino, M. , and Coussios, C.-C. (2010). “ Cavitation-enhanced delivery of macromolecules into an obstructed vessel,” J. Acoust. Soc. Am. 128, EL310–EL315.
Salgaonkar, V. A. , Datta, S. , Holland, C. K. , and Mast TD. (2009). “ Passive cavitation imaging with ultrasound arrays,” J. Acoust. Soc. Am. 126(6), 3071–3083.
Yu, T. , and Xu, C. (2008). “ Hyperecho as the indicator of tissue necrosis during microbubble-assisted high intensity focused ultrasound: Sensitivity, specificity and predictive value,” Ultrasound Med. Biol. 34, 1343–1347.
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Passive Acoustic Mapping (PAM) enables real-time monitoring of ultrasound therapies by beamforming acoustic emissions emanating from the ultrasound focus. Reconstruction of the narrowband or broadband acoustic emissions component enables mapping of different physical phenomena, with narrowband emissions arising from non-linear propagation and scattering, non-inertial cavitation or tissue boiling, and broadband (generally, of significantly lower amplitude) indicating inertial cavitation. Currently, accurate classification of the received signals based on pre-defined frequency-domain comb filters cannot be guaranteed because varying levels of leakage occur as a function of signal amplitude and the choice of windowing function. This work presents a time-domain parametric model aimed at enabling accurate estimation of the amplitude of time-varying narrowband components in the presence of broadband signals. Conversely, the method makes it possible to recover a weak broadband signal in the presence of a dominant harmonic or other narrowband component. Compared to conventional comb filtering, the proposed sum-of-harmonics method enables PAM of cavitation sources that better reflect their physical location and extent.
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