Estimating the mechanical energy of histotripsy bubble clouds with high frame rate imaging

Show simple item record

dc.contributor.author Bader, Kenneth B.
dc.contributor.author Wallach, Emily L.
dc.contributor.author Shekhar, Himanshu
dc.contributor.author Flores-Guzman, Fernando, Halpern, Howard J.
dc.contributor.author Hernandez, Sonia L.
dc.coverage.spatial United Kingdom
dc.date.accessioned 2012-09-26T07:22:31Z
dc.date.available 2012-09-26T07:22:31Z
dc.date.issued 2021-08
dc.identifier.citation Bader, Kenneth B.; Wallach, Emily L.; Shekhar, Himanshu; Flores-Guzman, Fernando, Halpern, Howard J. and Hernandez, Sonia L., “Estimating the mechanical energy of histotripsy bubble clouds with high frame rate imaging”, Physics in Medicine & Biology, DOI: 10.1088/1361-6560/ac155d, vol. 66, no. 16, Aug. 2021. en_US
dc.identifier.issn 0031-9155
dc.identifier.issn 1361-6560
dc.identifier.uri https://doi.org/10.1088/1361-6560/ac155d
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/6641
dc.description.abstract Mechanical ablation with the focused ultrasound therapy histotripsy relies on the generation and action of bubble clouds. Despite its critical role for ablation, quantitative metrics of bubble activity to gauge treatment outcomes are still lacking. Here, plane wave imaging was used to track the dissolution of bubble clouds following initiation with the histotripsy pulse. Information about the rate of change in pixel intensity was coupled with an analytic diffusion model to estimate bubble size. Accuracy of the hybrid measurement/model was assessed by comparing the predicted and measured dissolution time of the bubble cloud. Good agreement was found between predictions and measurements of bubble cloud dissolution times in agarose phantoms and murine subcutaneous SCC VII tumors. The analytic diffusion model was extended to compute the maximum bubble size as well as energy imparted to the tissue due to bubble expansion. Regions within tumors predicted to have undergone strong bubble expansion were collocated with ablation. Further, the dissolution time was found to correlate with acoustic emissions generated by the bubble cloud during histotripsy insonation. Overall, these results indicate a combination of modeling and high frame rate imaging may provide means to quantify mechanical energy imparted to the tissue due to bubble expansion for histotripsy.
dc.description.statementofresponsibility by Kenneth B Bader, Emily L Wallach, Himanshu Shekhar, Fernando Flores-Guzman, Howard J Halpern and Sonia L Hernandez
dc.format.extent vol. 66, no. 16
dc.language.iso en_US en_US
dc.publisher IOP Publishing en_US
dc.title Estimating the mechanical energy of histotripsy bubble clouds with high frame rate imaging en_US
dc.type Article en_US
dc.relation.journal Physics in Medicine & Biology


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search Digital Repository


Browse

My Account