Volumetric Passive Ultrasound Localization Microscopy of Radiation-Induced Nanodroplet Vaporization With a Large Aperture Matrix Array

Sophie V. Heymans;Marcus Ingram;Bram Carlier;Brecht Vandenborre;Marc Fournelle;Alessandro Ramalli;François Rottenberg;Koen van den Abeele;Jan D'Hooge
{"title":"Volumetric Passive Ultrasound Localization Microscopy of Radiation-Induced Nanodroplet Vaporization With a Large Aperture Matrix Array","authors":"Sophie V. Heymans;Marcus Ingram;Bram Carlier;Brecht Vandenborre;Marc Fournelle;Alessandro Ramalli;François Rottenberg;Koen van den Abeele;Jan D'Hooge","doi":"10.1109/OJUFFC.2025.3577590","DOIUrl":null,"url":null,"abstract":"Superheated nanodroplets (NDs) are proposed for in vivo radiation dose sensing applications, based on their ability to vaporize into echogenic microbubbles when exposed to ionizing radiation. Combined with Ultrasound Localization Microscopy (ULM), the ultrafast detection of radiation-induced ND vaporization produces super-resolved vaporization maps that match the radiation field with sub-millimeter accuracy. However, in the presence of flow, discriminating between microbubbles moving in the field of view and radiation-induced vaporization events is not trivial. As an alternative, sparse acoustic signatures emitted by vaporizing NDs can be super-localized by passive ULM, i.e. P-ULM. In this work, we extend our previous 2D implementation of P-ULM to 3D, using a large aperture matrix array probe. We exposed perfluorobutane NDs to a proton beam and recorded their vaporization signatures during irradiation. The events were extracted from the radiofrequency channel data using a spatiotemporal filtering approach and super-localized by fitting the time differences of arrival between channels to a one-way time of flight model. The vaporization maps were overlaid on the proton beam distribution and estimated the proton range and beam dispersion within <inline-formula> <tex-math>$0.98~\\pm ~0.04$ </tex-math></inline-formula> mm and <inline-formula> <tex-math>$0.03~\\pm ~0.02$ </tex-math></inline-formula> mm of the reference range measurement (depth-dose distribution in water measured with a diode), respectively. These results pave the way for volumetric dose mapping using radiosensitive nanodroplets and passive imaging.","PeriodicalId":73301,"journal":{"name":"IEEE open journal of ultrasonics, ferroelectrics, and frequency control","volume":"5 ","pages":"108-113"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11027146","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE open journal of ultrasonics, ferroelectrics, and frequency control","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/11027146/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Superheated nanodroplets (NDs) are proposed for in vivo radiation dose sensing applications, based on their ability to vaporize into echogenic microbubbles when exposed to ionizing radiation. Combined with Ultrasound Localization Microscopy (ULM), the ultrafast detection of radiation-induced ND vaporization produces super-resolved vaporization maps that match the radiation field with sub-millimeter accuracy. However, in the presence of flow, discriminating between microbubbles moving in the field of view and radiation-induced vaporization events is not trivial. As an alternative, sparse acoustic signatures emitted by vaporizing NDs can be super-localized by passive ULM, i.e. P-ULM. In this work, we extend our previous 2D implementation of P-ULM to 3D, using a large aperture matrix array probe. We exposed perfluorobutane NDs to a proton beam and recorded their vaporization signatures during irradiation. The events were extracted from the radiofrequency channel data using a spatiotemporal filtering approach and super-localized by fitting the time differences of arrival between channels to a one-way time of flight model. The vaporization maps were overlaid on the proton beam distribution and estimated the proton range and beam dispersion within $0.98~\pm ~0.04$ mm and $0.03~\pm ~0.02$ mm of the reference range measurement (depth-dose distribution in water measured with a diode), respectively. These results pave the way for volumetric dose mapping using radiosensitive nanodroplets and passive imaging.
大孔径矩阵阵列辐射诱导纳米液滴汽化的体积被动超声定位显微镜研究
过热纳米液滴(NDs)被提出用于体内辐射剂量传感应用,基于它们在暴露于电离辐射时汽化成回声微泡的能力。结合超声定位显微镜(ULM),辐射诱导ND汽化的超快检测产生超分辨汽化图,与亚毫米精度的辐射场相匹配。然而,在存在流动的情况下,区分在视场中运动的微气泡和辐射引起的汽化事件并非易事。作为替代方案,由汽化nd发出的稀疏声学特征可以通过被动ULM(即P-ULM)进行超局部化。在这项工作中,我们使用大孔径矩阵阵列探针将以前的二维P-ULM实现扩展到三维。我们将全氟丁烷nd暴露在质子束中,并在照射期间记录了它们的汽化特征。利用时空滤波方法从射频信道数据中提取事件,并通过将信道之间的到达时间差拟合为单向飞行时间模型进行超局部化。将汽化图叠加在质子束分布上,分别在参考测量范围(用二极管测量的水中深度-剂量分布)的$0.98~\pm ~0.04$ mm和$0.03~\pm ~0.02$ mm范围内估计质子范围和光束色散。这些结果为利用辐射敏感纳米液滴和被动成像进行体积剂量测绘铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信