ArticleIEEE transactions on ultrasonics, ferroelectrics, and frequency control2021
3-D Transcranial Microbubble Cavitation Localization by Four Sensors.
Article in IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- Acoustic Detection of Intracranial Cavitation Induced by Blunt Impacts in Polyacrylamide Human Head Models Across Varying Orientations.Annals of biomedical engineering · 2026Article
- Precise Manipulation of Bubble Cavitation and Blood-Brain Barrier Modulation using Temporal Interference Ultrasound.BME frontiers · 2026Article
- Ultrasound guided blood brain barrier opening using a diagnostic probe in a whole brain model.Scientific reports · 2025Article
- Optimization of 3D Passive Acoustic Mapping Image Metrics: Impact of Sensor Geometry and Beamforming Approach.Sensors (Basel, Switzerland) · 2024Article
- Therapeutic ultrasound transducer technology and monitoring techniques: a review with clinical examples.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2024Review
- Characterization of the Targeting Accuracy of a Neuronavigation-Guided Transcranial FUS System In Vitro, In Vivo, and In Silico.IEEE transactions on bio-medical engineering · 2023Article
- A PVDF Receiver for Acoustic Monitoring of Microbubble-Mediated Ultrasound Brain Therapy.Sensors (Basel, Switzerland) · 2023Article
- Airy Beam-enabled Binary Acoustic Metasurfaces for Underwater Ultrasound Beam Manipulation.Physical review applied · 2022Article
- Pancreatic Ductal Adenocarcinoma: Current and Emerging Therapeutic Uses of Focused Ultrasound.Cancers · 2022Review
- Experimental Demonstration of Trans-Skull Volumetric Passive Acoustic Mapping With the Heterogeneous Angular Spectrum Approach.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2022Article
- Binary acoustic metasurfaces for dynamic focusing of transcranial ultrasound.Frontiers in neuroscience · 2022Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Cavitation is the fundamental physical mechanism of various focused ultrasound (FUS)-mediated therapies in the brain. Accurately knowing the three-dimensional (3-D) location of cavitation in real-time can improve the targeting accuracy and avoid off-target tissue damage. Existing techniques for 3-D passive transcranial cavitation detection require the use of expensive and complicated hemispherical phased arrays with 128 or 256 elements. The objective of this study was to investigate the feasibility of using four sensors for transcranial 3-D localization of cavitation. Differential microbubble cavitation detection combined with the time difference of arrival algorithm was developed for the localization using the four sensors. Numerical simulation using k-Wave toolbox was performed to validate the proposed method for transcranial cavitation source localization. The sensors with a center frequency of 2.25 MHz and a 6 dB bandwidth of 1.39 MHz were used to locate cavitation generated by FUS (500 kHz) sonication of microbubbles that were injected into a tube positioned inside an ex vivo human skullcap. Cavitation emissions from the microbubbles were detected transcranially using the four sensors. Both simulation and experimental studies found that the proposed method achieved accurate 3-D cavitation localization. When the cavitation source was located within 30 mm from the geometric center of the sensor network, the accuracy of the localization method with the skull was measured to be 1.9±1.0 mm, which was not significantly different from that without the skull (1.7 ± 0.5 mm). The accuracy decreased as the cavitation source was away from the geometric center of the sensor network. It also decreased as the pulse length increased. Its accuracy was not significantly affected by the sensor position relative to the skull. In summary, four sensors combined with the proposed localization algorithm offer a simple approach for 3-D transcranial cavitation localization.
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