Zheng Emily, Zhang Huijuan, Hu Wentao, Doyley Marvin M, Xia Jun
Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260, USA.
Department of Electrical and Computer Engineering, Rochester Center for Biomedical Ultrasound, University of Rochester, Rochester, New York 14627, USA.
J Appl Phys. 2022 Jul 21;132(3):034902. doi: 10.1063/5.0093619. Epub 2022 Jul 15.
Photoacoustic imaging is a hybrid imaging approach that combines the advantages of optical and ultrasonic imaging in one modality. However, for comprehensive tissue characterization, optical contrast alone is not always sufficient. In this study, we combined photoacoustic imaging with high-resolution ultrasound and shear wave elastography. The multi-modal system can calculate optical absorption, acoustic reflection, and stiffness volumetrically. We constructed a multi-modal phantom with contrast for each imaging modality to test the system's performance. Experimental results indicate that the system successfully visualizes the embedded structures. We envision that the system will lead to more comprehensive tissue characterization for cancer screening and diagnosis.
光声成像是一种混合成像方法,它将光学成像和超声成像的优点结合在一种模态中。然而,对于全面的组织表征,仅光学对比度并不总是足够的。在本研究中,我们将光声成像与高分辨率超声和剪切波弹性成像相结合。该多模态系统可以在体积上计算光学吸收、声学反射和硬度。我们构建了一个对每种成像模态都有对比度的多模态体模来测试该系统的性能。实验结果表明该系统成功地可视化了嵌入的结构。我们设想该系统将为癌症筛查和诊断带来更全面的组织表征。