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用于混合光声和射频-声学计算机断层扫描的单一模拟平台。

A Single Simulation Platform for Hybrid Photoacoustic and RF-Acoustic Computed Tomography.

作者信息

Fadden Christopher, Kothapalli Sri-Rajasekhar

机构信息

Department of Electrical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.

Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.

出版信息

Appl Sci (Basel). 2018 Sep;8(9). doi: 10.3390/app8091568. Epub 2018 Sep 6.

Abstract

In recent years, multimodal thermoacoustic imaging has demonstrated superior imaging quality compared to other emerging modalities. It provides functional and molecular information, arising due to electromagnetic absorption contrast, at ultrasonic resolution using inexpensive and non-ionizing imaging methods. The development of optical- as well as radio frequency (RF)-induced thermoacoustic imaging systems would benefit from reliable numerical simulations. To date, most numerical models use a combination of different software in order to model the hybrid thermoacoustic phenomenon. Here, we demonstrate the use of a single open source finite element software platform (ONELAB) for photo- and RF-acoustic computed tomography. The solutions of the optical diffusion equation, frequency domain Maxwell's equations, and time-domain wave equation are used to solve the optical, electromagnetic, and acoustic propagation problems, respectively, in ONELAB. The results on a test homogeneous phantom and an approximate breast phantom confirm that ONELAB is a very effective software for both photo- and RF-acoustic simulations, and invaluable for developing new reconstruction algorithms and hardware systems.

摘要

近年来,与其他新兴成像模态相比,多模态热声成像已展现出卓越的成像质量。它利用廉价且非电离的成像方法,在超声分辨率下,基于电磁吸收对比提供功能和分子信息。光学诱导以及射频(RF)诱导热声成像系统的发展将受益于可靠的数值模拟。迄今为止,大多数数值模型为了模拟混合热声现象而结合使用不同的软件。在此,我们展示了使用单一的开源有限元软件平台(ONELAB)进行光声和射频声计算机断层扫描。在ONELAB中,光学扩散方程、频域麦克斯韦方程组和时域波动方程的解分别用于求解光学、电磁和声传播问题。在测试均匀体模和近似乳腺体模上的结果证实,ONELAB对于光声和射频声模拟都是非常有效的软件,并且对于开发新的重建算法和硬件系统具有极高价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38c8/6625763/a744597191cb/nihms-1030906-f0001.jpg

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