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High-Quality Passive Acoustic Mapping with the Cross-Correlated Angular Spectrum Method | |
2024-12-03 | |
状态 | 已发表 |
摘要 | While passive acoustic mapping (PAM) has been advanced for monitoring acoustic cavitation activity in focused ultrasound (FUS) therapy, achieving both real-time and high-quality imaging capabilities is still challenging. The angular spectrum (AS) method presents the most efficient algorithm for PAM, but it suffers from artifacts and low resolution due to the diffraction pattern of the imaging array. Data-adaptive beamformers suppress artifacts well, but their overwhelming computational complexity, more than two orders of magnitude higher than the classical time exposure acoustic (TEA) method, hinders their application in real-time. In this work, we introduce the cross-correlated AS method to address the challenge. This method is based on cross-correlating the AS back-propagated wave fields, in the frequency domain, measured by different apodized sub-apertures of the transducer array to provide the normalized correlation coefficient (NCC) matrix for artifacts suppression. We observed that the spatial pattern of NCC matrix is variable which can be utilized by the triple apodization with cross-correlation (TAX) with AS scheme, namely the AS-TAX method, for optimal artifacts suppression outcomes. Both the phantom and mouse tumor experiments showed that: 1) the AS-TAX method has comparable image quality as the data-adaptive beamformers, reducing the energy spread area by 34.8-66.6% and improving image signal-to-noise ratio by 10.7-14.5 dB compared to TEA; 2) it reduces the computational complexity by two orders of magnitude compared to TEA allowing millisecond-level image reconstruction speed with a parallel implementation; 3) it can well map microbubble cavitation activity of different status (stable or inertial). The AS-TAX method represents a real-time approach to monitor cavitation-based FUS therapy with high image quality. |
关键词 | Passive Acoustic Mapping Angular Spectrum Cross-correlation |
语种 | 英语 |
DOI | arXiv:2412.02413 |
相关网址 | 查看原文 |
出处 | Arxiv |
收录类别 | PPRN.PPRN |
WOS记录号 | PPRN:119687162 |
WOS类目 | Radiology, Nuclear Medicine& Medical Imaging |
资助项目 | Shanghai Sailing Program[21YF1429300] |
文献类型 | 预印本 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/471022 |
专题 | 信息科学与技术学院 生命科学与技术学院 生命科学与技术学院_博士生 信息科学与技术学院_博士生 生命科学与技术学院_PI研究组_李剑峰组 信息科学与技术学院_PI研究组_蔡夕然组 |
通讯作者 | Lu, Shukuan; Cai, Xiran |
作者单位 | 1.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai 201210, Peoples R China 2.ShanghaiTech Univ, Gene Editing Ctr, Sch Life Sci & Technol, Shanghai 201210, Peoples R China 3.ShanghaiTech Univ, State Key Lab Adv Med Mat & Devices, Shanghai 201210, Peoples R China 4.Chinese Acad Sci, Shanghai Adv Res Inst, Shanghai 201210, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 6.Chinese Acad Sci, Shenzhen Inst Adv Technol, Paul C Lauterbur Res Ctr Biomed Imaging, Shenzhen 518055, Peoples R China 7.Xian Jiaotong Univ, Sch Life Sci & Technol, Dept Biomed Engn, Key Lab Biomed Informat Engn Minist Educ, Xian 710049, Peoples R China 8.ShanghaiTech Univ, Shanghai Engn Res Ctr Intelligent Vis & Imaging, Shanghai 201210, Peoples R China 9.Chinese Acad Sci, Key Lab Biomed Imaging Sci & Syst, Shenzhen 518055, Peoples R China |
推荐引用方式 GB/T 7714 | Zeng, Yi,Zhu, Hui,Li, Jinwei,et al. High-Quality Passive Acoustic Mapping with the Cross-Correlated Angular Spectrum Method. 2024. |
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