Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
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Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
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Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
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Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
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Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
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Function: require_once
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Unlabelled: Passive Acoustic Mapping (PAM) is rapidly emerging as a ubiquitous tool for real-time localization and monitoring of therapeutic ultrasound treatments involving cavitation in the context of safety or efficacy. The ability of PAM to spatially quantify and resolve cavitation activity offers a unique opportunity to correlate the energy of cavitation phenomena with locally observed bioeffects.
Objective: We aim to develop methods of measuring and reporting spatio-temporally varying cavitation energies that are energy-preserving, device-independent, and adequately normalized to the volume of tissue being affected by the reported cavitation activity.
Methods: We introduce a new metric: cavitational radiated energy density (CRED), defined as the total energy of radiated acoustic emissions over a volume, divided by that volume. We show that image blurring caused by the instrumentation-dependent point spread function introduces significant image artefacts and CRED errors when using existing conventional and adaptive beamformers. We therefore introduce a novel PAM algorithm that utilizes the Lucy-Richardson deconvolution (LRD) technique to compensate for the point-spread function.
Results: In single and multi-source simulations and experiments, LRD provides cavitation maps with reduced tail artefacts and improved energy estimates with < 5% increase in computation time relative to a conventional beamformer.
Conclusion: We demonstrate the quantitative significance of CRED and the potential of the LRD-PAM algorithm to enable energy-preserving, quantitative, real-time monitoring of cavitation-based therapies independently of the instrumentation employed.
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http://dx.doi.org/10.1109/TBME.2025.3607586 | DOI Listing |