Special Issue on Photoacoustic Tomography
Source abstract
Abstract
Biomedical photoacoustic (or optoacoustic) tomography (PAT), or more generally, photoacoustic imaging (PAI), has been an active area of study and development in the last two decades [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Photoacoustic and Ultrasonic Imaging · Optical Imaging and Spectroscopy Techniques · Thermography and Photoacoustic Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48105, USA
Department of Mechanical Engineering, University of Kansas, Lawrence, KS 66045, USA
Institute for Biological and Medical Imaging, Helmholtz Zentrum Munich & Technical University of Munich, 85748 Garching, Germany
References (15)
Show source-provided references
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3. Photoacoustic clinical imaging10.1016/j.pacs.2019.05.001 ↗
4. Photoacoustic Probes for Molecular Detection: Recent Advances and Perspectives10.1002/smll.201800782 ↗
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6. Zafar, M., Kratkiewicz, K., Manwar, R., and Avanaki, M. (2019). Development of Low-Cost Fast Photoacoustic Computed Tomography: System Characterization and Phantom Study. Appl. Sci., 9.10.3390/app9030374 ↗
7. Sun, M.J., Hu, D.P., Zhou, W.X., Liu, Y., Qu, Y.W., and Ma, L.Y. (2019). 3D Photoacoustic Tomography System Based on Full-View Illumination and Ultrasound Detection. Appl. Sci., 9.10.3390/app9091904 ↗
8. Ron, A., Davoudi, N., Dean-Ben, X.L., and Razansky, D. (2019). Self-Gated Respiratory Motion Rejection for Optoacoustic Tomography. Appl. Sci., 9.10.3390/app9132737 ↗
9. Shan, H.M., Wang, G., and Yang, Y. (2019). Accelerated Correction of Reflection Artifacts by Deep Neural Networks in Photo-Acoustic Tomography. Appl. Sci., 9.10.3390/app9132615 ↗
10. Rui, W., Liu, Z.P., Tao, C., and Liu, X.J. (2019). Reconstruction of Photoacoustic Tomography Inside a Scattering Layer Using a Matrix Filtering Method. Appl. Sci., 9.10.3390/app9102071 ↗
11. Zangerl, G., Haltmeier, M., Nguyen, L.V., and Nuster, R. (2019). Full Field Inversion in Photoacoustic Tomography with Variable Sound Speed. Appl. Sci., 9.10.3390/app9081563 ↗
12. Omidi, P., Zafar, M., Mozaffarzadeh, M., Hariri, A., Haung, X.Z., Orooji, M., and Nasiriavanaki, M. (2018). A Novel Dictionary-Based Image Reconstruction for Photoacoustic Computed Tomography. Appl. Sci., 8.10.3390/app8091570 ↗
13. Guo, C.W., Chen, Y.N., Yuan, J., Zhu, Y.H., Cheng, Q., and Wang, X.D. (2018). Biomedical Photoacoustic Imaging Optimization with Deconvolution and EMD Reconstruction. Appl. Sci., 8.10.3390/app8112113 ↗
14. Ma, X., Cao, M., Shen, Q.H., Yuan, J., Feng, T., Cheng, Q., Wang, X.D., Washabaugh, A.R., Baker, N.A., and Lumeng, C.N. (2018). Adipocyte Size Evaluation Based on Photoacoustic Spectral Analysis Combined with Deep Learning Method. Appl. Sci., 8.10.3390/app8112178 ↗
15. Fadden, C., and Kothapalli, S.R. (2018). A Single Simulation Platform for Hybrid Photoacoustic and RF-Acoustic Computed Tomography. Appl. Sci., 8.10.3390/app8091568 ↗