中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Novel reconstruction algorithm of magnetoacoustic tomography based on ring transducer array for acoustic speed inhomogeneous tissues

文献类型:期刊论文

作者Wang, Lili1,2; Liu, Guoqiang1,2; Chen, Siping3; Chen, Xin3; Ma, Xibo2,4; Xia, Hui1
刊名MEDICAL PHYSICS
出版日期2020-05-23
页码12
关键词acoustic heterogeneity bioimpedance image reconstruction magnetoacoustic tomography with magnetic induction (MAT-MI)
ISSN号0094-2405
DOI10.1002/mp.14210
通讯作者Xia, Hui(xi-ahui@mail.iee.ac.cn)
英文摘要Purpose Magnetoacoustic tomography with magnetic induction (MAT-MI) is a technique that utilizes the acoustic signals induced by magnetic stimulation to reconstruct the electrical impedance distribution in biological tissues. Most algorithms ignored the fact that acoustic properties in human tissues are heterogeneous, which lead to distortion and blurring of small reconstructed objects. In this study, a novel algorithm is proposed for exact reconstruction of the sound source distribution in acoustic heterogeneous tissues. Methods Based on the ring transducer array, we develop an algorithm which combines algebraic reconstruction technique (ART) and time reversal method. Different to existing reconstruction methods, the ultrasonic transmission tomography (UTT) and the MAT-MI can be completed in same system, which decreases the system complexity. The sound velocity distribution is reconstructed with the ART so that the propagation time of the magnetoacoustic signals in the heterogeneous tissue is corrected. And then, the sound source image is reconstructed based on the time reversal method from new sound pressure data. Both numerical simulations and phantom experiments are established to validate the proposed method. Results Compared with the results without consideration of the variation on acoustic speed, sound sources reconstructed by our method are more consistent with the model in terms of size and shape. Conclusions The novel algorithm can be used to reconstruct the high-accuracy image of MAT-MI sound source in the sound velocity inhomogeneous media. In addition, this method is applicable to scenarios that the prior knowledge of the imaging targets is unknown. The signal acquisition time of MAT-MI in acoustically heterogeneity media is greatly reduced due to the introduction of ring transducer array into the imaging system. Therefore, our method will promote the application of MAT-MI in noninvasive early diagnosis of tumor for preclinical study.
WOS关键词THERMOACOUSTIC TOMOGRAPHY ; DIELECTRIC-PROPERTIES ; COMPUTED-TOMOGRAPHY ; BIOLOGICAL TISSUES ; MAGNETIC INDUCTION
资助项目National Natural Science Foundation of China[61771448] ; National Natural Science Foundation of China[61427806] ; National Natural Science Foundation of China[51937010] ; National Natural Science Foundation of China[81871442] ; Chinese Academy of Sciences[ZDKYYQ20190002]
WOS研究方向Radiology, Nuclear Medicine & Medical Imaging
语种英语
WOS记录号WOS:000534819600001
出版者WILEY
资助机构National Natural Science Foundation of China ; Chinese Academy of Sciences
源URL[http://ir.ia.ac.cn/handle/173211/39526]  
专题自动化研究所_模式识别国家重点实验室_生物识别与安全技术研究中心
通讯作者Xia, Hui
作者单位1.Chinese Acad Sci, Inst Elect Engn, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Univ Shenzhen, Guangdong Key Lab Biomed Measurements & Ultrasoun, Shenzhen 518061, Peoples R China
4.Chinese Acad Sci, Inst Automat, CBSR&NLPR, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Wang, Lili,Liu, Guoqiang,Chen, Siping,et al. Novel reconstruction algorithm of magnetoacoustic tomography based on ring transducer array for acoustic speed inhomogeneous tissues[J]. MEDICAL PHYSICS,2020:12.
APA Wang, Lili,Liu, Guoqiang,Chen, Siping,Chen, Xin,Ma, Xibo,&Xia, Hui.(2020).Novel reconstruction algorithm of magnetoacoustic tomography based on ring transducer array for acoustic speed inhomogeneous tissues.MEDICAL PHYSICS,12.
MLA Wang, Lili,et al."Novel reconstruction algorithm of magnetoacoustic tomography based on ring transducer array for acoustic speed inhomogeneous tissues".MEDICAL PHYSICS (2020):12.

入库方式: OAI收割

来源:自动化研究所

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