Letteratura scientifica selezionata sul tema "Passive Acoustic Mapping,Passive Cavitation Imaging"

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Articoli di riviste sul tema "Passive Acoustic Mapping,Passive Cavitation Imaging":

1

Therre, Sarah, Wolfgang Bost, Holger Hewener, Steffen Tretbar e Marc Fournelle. "Passive Acoustic Mapping for ultrasound therapy monitoring". Current Directions in Biomedical Engineering 7, n. 2 (1 ottobre 2021): 437–40. http://dx.doi.org/10.1515/cdbme-2021-2111.

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Abstract (sommario):
Abstract Passive Acoustic Mapping (PAM) is an ultrasoundbased imaging method developed for monitoring therapeutic ultrasound. By using diagnostic transducers to passively record the acoustic signals that are emitted by cavitation bubbles, the origin of the bubbles can be reconstructed and displayed as intensity maps. In this study, two matrix arrays with different aperture sizes were used for the volumetric reconstruction of simulated and experimental data. In a second step, the number of elements being used for the reconstruction was reduced by more than the factor of eight in order to assess the influence on the imaging quality. In the numerical part of the study, the image quality was greatly improved by increasing the aperture size, while a high number of elements used for the reconstruction merely offers minor improvements. The experimentally obtained results were able to confirm the numerical findings regarding the achievable reconstruction quality.
2

Wu, Qiang, Michael Gray, Cameron Smith, Luca Bau, Constantin Coussios e Eleanor P. Stride. "Correlating high-speed optical imaging and passive acoustic mapping of cavitation dynamics". Journal of the Acoustical Society of America 151, n. 4 (aprile 2022): A174. http://dx.doi.org/10.1121/10.0011017.

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The biological effects of acoustic cavitation are mediated by a range of phenomena associated with different types of bubble activity, e.g., micro-streaming, micro-jetting, and shockwave generation. The acoustic emissions generated by cavitation are also correlated to bubble dynamics. Hence, monitoring these emissions during ultrasound therapy is desirable, to maximise treatment safety and efficacy. The precise relationship between the spectral content of acoustic emissions and bubble dynamics is, however, less well understood. The aim of this study was to use simultaneous ultra-high-speed optical imaging (1–10 MHz) and passive acoustic mapping to characterise the behaviour of individual and clusters of microbubbles over a range of ultrasound exposures. As expected from the literature and numerical modelling, both the number of discrete harmonic components and amplitude of broadband content in the emissions increased with increasing amplitude of bubble oscillation. This suggests that passive acoustic mapping provides a useful indicator of spherical bubble behaviour. Frequently, however, complex bubble behaviour, such as fragmentation and coalescence was observed, which could produce substantially different effects in tissue compared with spherical bubble collapse. Future work will focus on determining whether these differences can be adequately captured in defining a future cavitation “dose” based on acoustic emissions for different applications.
3

Gray, Michael, e Kevin J. Haworth. "Advances in ultrasound imaging: Passive cavitation imaging/mapping". Journal of the Acoustical Society of America 149, n. 4 (aprile 2021): A91. http://dx.doi.org/10.1121/10.0004612.

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Smith, Cameron, Luca Bau, Michael Gray e Constantin Coussios. "PAM, not spam: Towards quantitative, reproducible, and energy-preserving cavitation imaging". Journal of the Acoustical Society of America 153, n. 3_supplement (1 marzo 2023): A268. http://dx.doi.org/10.1121/10.0018809.

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Abstract (sommario):
Since the development of the original passive acoustic mapping (PAM) algorithm for cavitation imaging in 2008, which employed a conventional beamformer adapted from seismology (time exposure acoustics), sequential algorithmic improvements have sought to enhance spatial resolution, reduce computation time and enable increasingly setup-independent reporting of cavitation activity. These enhancements have included the use of frequency-domain rather than time-domain implementations to improve computational efficiency, the introduction of the Robust Capon Beamformer to reduce artefacts, sub-aperture processing to further increase frame rate and the implementation of corrections for frequency-dependent attenuation and for array sensitivity and diffraction to account for probe- and depth-related variability. Once these corrections are taken into account, current PAM algorithms produce accurate estimates of cavitation source strength at a single location, but not in the surrounding region, leading to inaccurate estimates of the total cavitation energy over the treatment volume. We present an energy-preserving and computationally efficient PAM algorithm based on Lucy-Richardson deconvolution, that enables the calculation of a set-up independent Cavitational Radiated Energy Density (CRED) that ensures cavitation images accurately reflect the total energy of radiated acoustic emissions within the imaging domain.
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Jones, Ryan M., Dallan McMahon, Lulu Deng, Meaghan O'Reilly e Kullervo Hynynen. "Passive acoustic mapping within the cranial vault during microbubble-mediated ultrasound brain therapy". Journal of the Acoustical Society of America 153, n. 3_supplement (1 marzo 2023): A314. http://dx.doi.org/10.1121/10.0018976.

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Abstract (sommario):
Over the past 15 years, the use of passive sensor arrays combined with established beamforming algorithms to image acoustic activity during ultrasound therapies, so-called passive acoustic mapping (PAM), has been increasingly investigated for cavitation-based treatment monitoring and control purposes. Our group is interested in applications of microbubble-mediated ultrasound therapy in the brain, during which the skull bone presents unique challenges for both treatment delivery and acoustic emissions monitoring. We have demonstrated that skull-specific transcranial aberration correction methods can be applied during receive beamforming to augment PAM image quality through the skull bone, borrowing techniques developed originally for transmit beam focusing. Using custom clinical-prototype transmit/receive phased arrays, we have performed 3D microbubble imaging in vivo through ex vivo human skullcaps, and have exploited the resulting spatiotemporal cavitation information for real-time exposure level calibration and offline bioeffect distribution prediction. Ultrafast processing of acoustic emissions data can uncover cavitation dynamics hidden by conventional whole-burst temporal averaging, as well as inform temporal under-sampling strategies when millisecond-long tone bursts are applied. This talk will provide a historical overview of PAM for ultrasound therapy monitoring throughout the body, followed by a summary of recent progress made in mapping cavitation activity within the cranial vault during brain applications.
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Gray, Michael, Christian Coviello, Miklos Gyongy, Erasmia Lyka, Catherine Paverd, Calum Crake, Delphine Elbes, Cameron Smith e Constantin Coussios. "Weight for it… adaptive beamformers in passive acoustic mapping for cavitation imaging". Journal of the Acoustical Society of America 148, n. 4 (ottobre 2020): 2449. http://dx.doi.org/10.1121/1.5146758.

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Crake, Calum, Marie de Saint Victor, Joshua Owen, Christian Coviello, Jamie Collin, Constantin-C. Coussios e Eleanor Stride. "Passive acoustic mapping of magnetic microbubbles for cavitation enhancement and localization". Physics in Medicine and Biology 60, n. 2 (7 gennaio 2015): 785–806. http://dx.doi.org/10.1088/0031-9155/60/2/785.

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Li, Mucong, Daiwei Li, Yun Jing, Pei Zhong e Junjie Yao. "Real-time passive cavitation mapping with high spatial-temporal resolution". Journal of the Acoustical Society of America 152, n. 4 (ottobre 2022): A215—A216. http://dx.doi.org/10.1121/10.0016057.

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Abstract (sommario):
Shock wave lithotripsy (SWL) and laser lithotripsy (LL) have been widely used for clinical treatment of kidney stones. Cavitation plays an important role in stone fragmentation in both SWL and LL, yet it may also contribute to renal tissue injury. It is therefore crucial to determine the spatiotemporal distributions of cavitation activities to maximize stone fragmentation while minimizing tissue injury. Passive cavitation mapping (PCM) has most practical applications in deep biological tissues and is most promising for clinical translation. We have developed a set of technologies for 2D/3D PCM that can be seamlessly integrated with ultrasound imaging and photoacoustic imaging. Our 2D/3D PCM has achieved a spatial resolution of hundreds of micrometers and a temporal resolution of several microseconds. We also developed a transient angular spectrum approach for PCM reconstruction, which is ten times faster than the traditional delay-and-sum method. Using the 2D/3D PCM system, we imaged shockwave- and laser-induced single cavitation bubbles in both free field and constricted space, as well as on large animal models. Collectively, our results have demonstrated the high reliability and spatial-temporal accuracy of the 2D/3D PCM approach, which paves the way for future in vivo applications and human studies during SWL and LL.
9

Yao, Junjie. "Real-time passive cavitation mapping with high spatial-temporal resolution". Journal of the Acoustical Society of America 153, n. 3_supplement (1 marzo 2023): A315. http://dx.doi.org/10.1121/10.0018980.

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Abstract (sommario):
Shock wave lithotripsy (SWL) and laser lithotripsy (LL) have been widely used for clinical treatment of kidney stones. Cavitation plays an important role in stone fragmentation in both SWL and LL, yet it may also contribute to renal tissue injury. It is therefore crucial to determine the spatiotemporal distributions of cavitation activities to maximize stone fragmentation while minimizing tissue injury. Passive cavitation mapping (PCM) has most practical applications in deep biological tissues and is most promising for clinical translation. We have developed a set of technologies for 2D/3D PCM that can be seamlessly integrated with ultrasound imaging and photoacoustic imaging. Our 2D/3D PCM has achieved a spatial resolution of hundreds of micrometers and a temporal resolution of several microseconds. We also developed a transient angular spectrum approach for PCM reconstruction, which is ten times faster than the traditional delay-and-sum method. Using the 2D/3D PCM system, we imaged shockwave- and laser-induced single cavitation bubbles in both free field and constricted space, as well as on large animal models. Collectively, our results have demonstrated the high reliability and spatial-temporal accuracy of the 2D/3D PCM approach, which paves the way for future in vivo applications and human studies during SWL and LL.
10

Boulos, Paul, Franois Varray, Adrien Poizat, Alessandro Ramalli, Bruno Gilles, Jean-Christophe Bera e Christian Cachard. "Weighting the Passive Acoustic Mapping Technique With the Phase Coherence Factor for Passive Ultrasound Imaging of Ultrasound-Induced Cavitation". IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 65, n. 12 (dicembre 2018): 2301–10. http://dx.doi.org/10.1109/tuffc.2018.2871983.

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Tesi sul tema "Passive Acoustic Mapping,Passive Cavitation Imaging":

1

Sivadon, Audrey. "Contributions à l’imagerie passive de la cavitation ultrasonore : formation de voies adaptatives en 3D et extension spatiale de nuages de bulles". Electronic Thesis or Diss., Lyon 1, 2022. http://www.theses.fr/2022LYO10172.

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Abstract (sommario):
L’imagerie passive s’appuie sur des algorithmes de formation de voie qui nécessitent des sondes de grande ouverture pour offrir de bonnes résolutions axiales ; or, en imagerie passive 3D, les sondes matricielles actuellement commercialisées ne vérifient pas cette contrainte. De plus, ces sondes présentent un grand nombre d’éléments, ce qui rend leur utilisation particulièrement lourde. Ce travail de thèse porte sur l’étude et l’amélioration de l’imagerie passive de la cavitation en s’intéressant à deux aspects en particulier : (i) la mise en œuvre pratique et efficace de l’imagerie passive en 3D, (ii) la problématique de l’imagerie de sources étendues telles que des nuages de cavitation. Nous avons combiné l’application des méthodes sparse (pour réduire le nombre d’éléments actifs de la sonde utilisée) et la transposition du 2D au 3D des algorithmes adaptatifs dans le domaine fréquentiel. Ce formalisme utilise l’estimation robuste de la matrice de densité inter-spectrale (CSM) et nous a permis d’implémenter simplement et efficacement différents algorithmes : Delay-And-Sum (DAS), Robust-Capon-Beamformer et Pisarenko. L’efficacité de ces algorithmes en 3D a été testée en termes de largeur à mi-hauteur, de contraste et d’erreur de position, sur une source ponctuelle en simulations et sur une expérience de réflecteur ponctuel. Enfin, pour répondre à la réalité des nuages de cavitation, nous nous sommes intéressés au comportement de ces méthodes de reconstruction dans le cas de sources étendues. Nos simulations en 2D montrent l’évolution des images reconstruites en fonction de caractéristiques du nuage de cavitation. Ce travail apporte une solution concrète de mise en œuvre simple de l’imagerie passive 3D ainsi que des éléments de réponse quant aux attentes sur la localisation et la caractérisation d’un nuage de cavitation
Passive imaging relies on beamforming algorithms that require large aperture probes to provide good axial resolutions; however, in 3D passive imaging, the matrix probes currently marketed do not meet this constraint. Moreover, these probes have a large number of elements, which makes their use particularly unwieldy. This thesis work focuses on the study and improvement of passive cavitation imaging by addressing two aspects in particular: (i) the practical and efficient implementation of 3D passive imaging, (ii) the problem of imaging large sources such as cavitation clouds. We have combined the application of sparse methods (to reduce the number of active elements of the probe used) and the transposition from 2D to 3D of adaptive algorithms in the frequency domain. This formalism uses the robust estimation of the inter-spectral density matrix (CSM) and allowed us to implement simply and efficiently different algorithms: Delay-And-Sum (DAS), Robust-Capon-Beamformer and Pisarenko. The efficiency of these algorithms in 3D has been tested in terms of width to half height, contrast and position error, on a point source in simulations and on a point reflector in experiments. Finally, in order to address the reality of cavitation clouds, we have investigated the behavior of these reconstruction methods in the case of extended sources. Our 2D simulations show the evolution of the reconstructed images as a function of the cavitation cloud characteristics. This work provides a concrete solution for a simple implementation of 3D passive imaging as well as answers to the expectations on the localization and characterization of a cavitation cloud
2

Salgaonkar, Vasant Anil. "Passive Imaging and Measurements of Acoustic Cavitation during Ultrasound Ablation". University of Cincinnati / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1259075197.

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Salgaonkar, Vasant A. "Passive imaging & measurements of acoustic cavitation during ultrasound ablation". Cincinnati, Ohio : University of Cincinnati, 2009. http://rave.ohiolink.edu/etdc/view.cgi?acc_num=ucin1259075197.

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Abstract (sommario):
Thesis (Ph.D.)--University of Cincinnati, 2009.
Advisor: T. Douglas Mast. Title from electronic thesis title page (viewed Jan. 19, 2010). Keywords: Ultrasound Ablation; Acoustic cavitation; Passive cavitation detection;High-intensity focused ultrasound;Passive cavitation imaging;guidance and control. Includes abstract. Includes bibliographical references.
4

Lyka, Erasmia. "Passive acoustic mapping for improved detection and localisation of cavitation activity". Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:d99dd0b6-3777-4506-9ef5-1b613433de58.

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Abstract (sommario):
Passive acoustic mapping (PAM) is a novel method for monitoring ultrasound therapies by mapping sources of acoustic activity, and in most cases cavitation activity, using an array of detectors. Although the range of its applications is indicative of its great potential, clinical adoption is currently hindered by its limited spatial resolution and the inherent difficulty of distinguishing, at depth, between nonlinear signals arising from nonlinear propagation and those arising from processes such as cavitation. The objective of this thesis is to address this limitation, by improving both the detection of the signal-of-interest and the source localisation. An optimum data-adaptive array beamforming algorithm is proposed, Robust Beamforming by Linear Programming (RLPB), which exploits the higher-orderstatistics of the recorded signals, aiming at improving PAM source localisation. Both simulations and in vitro experimentation demonstrated improvement in PAM spatial resolution compared to a previously introduced algorithm, Robust Capon Beamformer. More specifically, under the in vitro conditions examined here, a 22% and 14% increase in the axial and transverse PAM resolution is respectively achieved. In terms of reliable signal-of-interest detection amongst interfering signals, a time-domain data-adaptive parametric model, Sum-of-Harmonics (SOH) model, is developed. This model enables accurate estimation of time-varying-amplitude narrowband components in the presence of broadband signals. Respectively, it can recover a weak broadband signal in the presence of a dominant narrowband component. Compared to conventional comb filtering, SOH model enables PAM of cavitation sources that better reflect their physical location and extent. PAM performance enhancement achieved by combining the proposed beamforming and filtering approaches is assessed in a context where spatial resolution really matters, namely for distinguishing between cavitation activity occurring inside a channel and perivascularly following cavitation-mediated extravasation. Adoption of the proposed method results in more accurate isolation of the broadband emissions from inertially cavitating sources, and more reliable localisation of these sources despite the long source-to-array distance has been observed. Such an improvement to the spatial accuracy of PAM paves the way towards its clinical translation, and in vivo experimentation is the next step for further validation of PAM in conjunction with the proposed methods under clinically relevant conditions.

Atti di convegni sul tema "Passive Acoustic Mapping,Passive Cavitation Imaging":

1

Song, Jae Hee, Sandy Cochran, Paul Prentice, Grame McLeod e George Corner. "Role of periodic shock waves in passive acoustic mapping of cavitation". In 2016 IEEE International Ultrasonics Symposium (IUS). IEEE, 2016. http://dx.doi.org/10.1109/ultsym.2016.7728598.

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Lu, Shukuan, Ruibo Su, Chunye Wan, Shifang Guo, Yi Feng e Mingxi Wan. "Spatiotemporal Passive Mapping of Cavitation in a Focused Acoustic Vortex Field". In 2023 IEEE International Ultrasonics Symposium (IUS). IEEE, 2023. http://dx.doi.org/10.1109/ius51837.2023.10307507.

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Lu, Shukuan, Xianbo Yu, Nan Chang, Yujin Zong, Hui Zhong e Mingxi Wan. "Passive acoustic mapping of cavitation based on frequency sum and robust capon beamformer". In 2017 IEEE International Ultrasonics Symposium (IUS). IEEE, 2017. http://dx.doi.org/10.1109/ultsym.2017.8091866.

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Lu, Shukuan, Xianbo Yu, Nan Chang, Yujin Zong, Hui Zhong e Mingxi Wan. "Passive acoustic mapping of cavitation based on frequency sum and robust capon beamformer". In 2017 IEEE International Ultrasonics Symposium (IUS). IEEE, 2017. http://dx.doi.org/10.1109/ultsym.2017.8091936.

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Bae, Sua, Keyu Liu, Antonios N. Pouliopoulos e Elisa E. Konofagou. "Coherence-Factor-based Passive Acoustic Mapping for Real-Time Transcranial Cavitation Monitoring with Improved Axial Resolution". In 2021 IEEE International Ultrasonics Symposium (IUS). IEEE, 2021. http://dx.doi.org/10.1109/ius52206.2021.9593643.

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Jing, Bowen, e Brooks D. Lindsey. "Improving spatial resolution of cavitation dose mapping for high intensity focused ultrasound (HIFU) therapy by combining ultrafast interframe cavitation image and passive acoustic mapping". In 2020 IEEE International Ultrasonics Symposium (IUS). IEEE, 2020. http://dx.doi.org/10.1109/ius46767.2020.9251718.

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Li, Chunqi, Harry R. Clegg, Thomas M. Carpenter, Luzhen Nie, Steven Freear, David M. J. Cowell e James R. McLaughlan. "Modified passive acoustic mapping with diagnostic-array angular response for cavitation monitoring during HIFU ablation in ex vivo tissue". In 2020 IEEE International Ultrasonics Symposium (IUS). IEEE, 2020. http://dx.doi.org/10.1109/ius46767.2020.9251786.

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