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
DOIarXiv: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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