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刘松德

Special Associate Researcher


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Degree:Dr

Discipline:Precision Instrument and Machinery

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Peer-reviewed Journal Articles

  1. X. Liu#, C. Wu#, S. Liu#, C. Zhu, K. Gao, C. Ma, and C. Tian*, "Quantitative oximetry with photoacoustic computed tomography: principles, progress, and prospects," Journal of Innovative Optical Health Sciences xx, xx (2026). (Under review)

  2. J. Zheng#, W. Dong#, J. Sun#, Q. Song, X. Jiang, S. Wang, S. Liu*, and C. Tian*, "TT-PADM: a time-driven transformer diffusion model for robust sparse-view and limited-view photoacoustic tomography," BME Frontiers xx, xx (2026). (Under review)

  3. C. Tian#, F. Pan#, M. Li, S. Liu, X. Wei*, and P. Jiang*, "Problem-based learning of signals and systems through an ultrasound imaging program," IEEE Transactions on Education xx, xx (2026). (Under review)

  4. W. Dong#, X. Han#, C. Zhu, S. Liu, and C. Tian*, "Blind single image restoration for ring-array photoacoustic tomography system via physics-aided unsupervised learning," Photoacoustics xx, xx (2026). (Under revision)

  5. S. Liu#, B. Zhou#, W. Dong#, H. Gu, J. Sun, L. Hu, and C. Tian*, "Point spread function modeling for B-mode ultrasound imaging," Medical Physics xx, xx (2026). (Under revision)

  6. K. Shen, K. Niu, S. Liu, Y. M. Paulus, X. Jiang*, and C. Tian*, "Physics-driven deep learning photoacoustic tomography," Fundamental Research 5, xx (2025). [In press]

  7. S. Liu#, Z. Tan#, P. Shao, S. Wang, and C. Tian*, "Ultrafast filtered back-projection for photoacoustic computed tomography," Biomedical Optics Express 16(2), 362-381 (2025). [Link] (Top Downloads from January-March 2025)

  8. W. Dong#, Y. Zhang#, L. Hu, S. Liu*, and C. Tian*, "Image restoration for ring-array photoacoustic tomography based on an attention mechanism driven conditional generative adversarial network," Photoacoustics 43, 100714 (2025). [Link]

  9. C. Tian#, C. Chen#, Y. Qu, M. Li, and S. Liu*, "Incorporating scientific applications into engineering education through interactive simulation software," Computer Applications in Engineering Education 33(4), e70057 (2025). [Link]

  10. Z. Liu, Z. Tan, S. Liu, and C. Tian*, "Three-dimensional time-domain full waveform inversion for sound speed and attenuation reconstruction in ultrasound computed tomography," Journal of USTC 55(6), 0602 (2025). [Link]

  11. S. Liu, X. Zheng, F. Pan, B. Wang, and C. Tian*, "Adaptive edge-enhanced Markov chain Monte Carlo method for sound speed reconstruction in ultrasound computed tomography," IEEE Transactions on Instrumentation & Measurement 73, 4508112 (2024). [Link]

  12. S. Liu, C. Zhang, J. Zhang, X. Liu, B. Zhu*, and C. Tian*, "Sub-Nyquist sampling-based high-frequency photoacoustic computed tomography," Optics Letters 49(7), 1648-1651 (2024). [Link]

  13. S. Liu#, T. Wang#, X. Zheng#, Y. Zhu, and C. Tian*, "On the imaging depth limit of photoacoustic tomography in the visible and first near-infrared windows," Optics Express 32(4), 5460-5480 (2024). [Link]

  14. C. Tian, K. Shen, W. Dong, F. Gao, K. Wang, J. Li, S. Liu, T. Feng, C. Liu, C. Li, M. Yang*, S. Wang*, and J. Tian*, "Image reconstruction from photoacoustic projections," Photonics Insights 3(3), R06 (2024). [Link] (Featured by Chinese Laser Press)

  15. H. Zhang#, Y. Zhu#, B. Zhou, S. Liu, N. He*, and C. Tian*, "Multibeam minimum variance beamforming for ring array ultrasound imaging," Physics in Medicine & Biology 68(13), 135005 (2023). [Link]

  16. Y. Zhao#, C. Zhang#, S. Liu, and C. Tian*, "Ultrasound-guided adaptive photoacoustic tomography," Optics Letters 47(15), 3960-3963 (2022). [Link]

  17. W. Fu#, D. Zhao#, Z. Li#, S. Liu, C. Tian*, and K. Huang*, "Ultracompact meta-imagers for arbitrary all-optical convolution," Light: Science & Applications 11(1), 62 (2022). [Link] (ESI highlycited paper, 1%, highlighted in Light: Science & Applications: News & Views)

  18. T. Wang, W. Dong, K. Shen, S. Liu, W. Liu, and C. Tian*, "Sparse-view photoacoustic image quality enhancement based on a modified U-Net," Laser & Optoelectronics Progress 59(6), 0617022 (2022). [Link]

  19. K. Shen, S. Liu, J. Shi, and C. Tian*, "Dual-domain neural network for sparse-view photoacoustic image reconstruction," Chinese Journal of Lasers 49(5), 0507208 (2022). [Link]

  20. Q. Zhu#, W. Jiang#, K. Ye, S. Jin, W. Dong, S. Liu, G. Zhang, C. Tian, Y. Luo, Y. Wang*, and J. Jiang*, "Hydrogenated oxide material for self‐targeting and automatic‐degrading photothermal tumor therapy in the NIR‐II bio‐window," Advanced Functional Materials 32(14), 2110881 (2021). [Link]

  21. S. Liu, H. Wang, C. Zhang, J. Dong, S. Liu, R. X. Xu, and C. Tian*, "In vivo photoacoustic sentinel lymph node imaging using clinically-approved carbon nanoparticles," IEEE Transactions on Biomedical Engineering 67(7), 2033-2042 (2020). [Link]

    Highlighted by EurekAlert, Medical News, Medical Xpress, eCancer, CAS News, International Contrast Ultrasound Society (ICUS), etc.

  22. K. Shen#, S. Liu#, T. Feng, J. Yuan, B. Zhu*, and C. Tian*, "Negativity artifacts in back-projection based photoacoustic tomography," Journal of Physics D: Applied Physics 54(7), 074001 (2020). [Link]

  23. C. Tian*, M. Pei, K. Shen, S. Liu, Z. Hu, and T. Feng*, "Impact of system factors on the performance of photoacoustic tomography scanners," Physical Review Applied 13(1), 014001 (2020). [Link]

  24. H. Wang, S. Liu, T. Wang, C. Zhang, T. Feng, and C. Tian*, "Three-dimensional interventional photoacoustic imaging for biopsy needle guidance with a linear array transducer," Journal of Biophotonics 12(12), e201900212 (2019). [Link]

  25. G. Liu#, K. Huang#, Q. Jia, S. Liu, S. Shen, J. Li, E. Dong, P. Lemaillet, D. W. Allen, and R. X. Xu*, "Fabrication of a multilayer tissue-mimicking phantom with tunable optical properties to simulate vascular oxygenation and perfusion for optical imaging technology," Applied Optics 57(23), 6772-6780 (2018). [Link]


Conference Papers

  1. C. Chen, S. Liu, and C. Tian*, "Modeling and optimization of piezoelectric composite transducers for photoacoustic and ultrasound dual-modality imaging," Proc. SPIE 13966, 139660L (2025).

  2. C. Bao, K. Niu, S. Liu, and C. Tian*, "A Laplacian pyramid method for photoacoustic and ultrasonic image fusion," Proc. SPIE 13966, 139660U (2025).

  3. Y. Qu, H. Gu, S. Liu, and C. Tian*, “A dual-speed model for photoacoustic and ultrasound image reconstruction,” Proc. SPIE 13966, 139660N (2025).

  4. J. Zhang, Q. Song, S. Liu, and C. Tian*, "Development of a low-cost photoacoustic imaging system based on FPGA-synchronized control," Proc. SPIE 13966, 139660Q (2025).

  5. S. Liu, Z. Tan, and C. Tian*, "GPU-accelerated filtered back-projection algorithm for ultrafast photoacoustic image reconstruction," Proc. SPIE 13319, 133190O (2025).

  6. C. Tian*, J. Sun, and S. Liu, "Deep learning filtered back projection for photoacoustic tomography." Proc. SPIE 13319, 133190J (2025).

  7. B. Wang, S. Liu, and C. Tian*, "Multi-stencil fast-marching-based method for three-dimensional image reconstruction in ultrasound computed tomography," Proc. SPIE 13785, 1378507 (2025).

  8. B. Zhou, S. Liu, and C. Tian*, "Point spread function modeling for coherent plane-wave compounding ultrasound imaging," Proc. SPIE 13418, 134181L (2024).

  9. Z. Tan, S. Liu, J. Zheng, Y. Zhu, and C. Tian*, "Pre-calculation based parallel filtered back projection for photoacoustic computed tomography," Proc. SPIE 12766, 1276611 (2023).

  10. K. Shen, S. Liu, and C. Tian*, "Negativity artifacts analysis in back-projection based photoacoustic tomography," Proc. SPIE 11553, 115532K (2020).

  11. S. Liu, J. Dong, S. Liu, W. Huang, R. X. Xu, and C. Tian*, "Clinical carbon nanoparticles based photoacoustic sentinel lymph node imaging in vivo," Frontiers in Optics + Laser Science APS/DLS, JTu3A.101 (2019).

  12. S. Liu, Z. J. Smith, and R. X. Xu*, "Structured light imaging system for structural and optical characterization of 3D tissue-simulating phantoms," Proc. SPIE 10024, 100240P (2016).

  13. Y. Qu, W. Ren, S. Liu, P. Liu, L. Xie, X. Zhang, S. Zhang, S. Chang, and R. Xu*, "Polarized hyperspectral imaging system for in vivo detection of vulvar lichen sclerosis," Proc. SPIE 9715, 97150Q (2016).


Grants

  1. National Natural Science Foundation of China, 62405306, PI.

  2. Department of Science and Technology of Anhui Province, 2408085QF187, PI.

  3. University of Science and Technology of China, WK2090000083, PI.

  4. National Natural Science Foundation of China, 12174368, Core Member.

  5. Ministry of Science and Technology of China, 2022YFA1404400, Core Member.

  6. Hefei Comprehensive National Science Center, 21KT016, Core Member.

  7. Department of Science and Technology of Anhui Province, 202203a07020020, Core Member.


Patents

  1. C. Tian, S. Liu, "A three-dimensional ultrasound tomographic image reconstruction method based on time-domain full waveform inversion," Chinese Patent ZL202510083910.9 (Issued, November 25, 2025).

  2. S. Liu, C. Tian, Z. Tan, "A high-frequency photoacoustic computed tomography method based on sub-Nyquist sampling," Chinese Patent ZL202410146053.8 (Issued, October 28, 2025).

  3. C. Tian, K. Shen, S. Liu, "A dual-domain neural network-based training method and photoacoustic image reconstruction method," Chinese Patent ZL202111683421.5 (Issued, July 15, 2025).

  4. S. Liu, T. Ma, J. Zhou, C. Tian, "Noninvasive hemodynamic monitoring method and system based on photoacoustic-ultrasound imaging," Chinese Patent 202511992006.6 (Pending, December 26, 2025).

  5. C. Tian, S. Liu, "Photoacoustic-ultrasound volumetric imaging method and system based on a ring-shaped ultrasound array," Chinese Patent 202512008132.X (Pending, December 29, 2025).

  6. S. Liu, C. Tian, Z. Tan, "A high-frequency photoacoustic computed tomography method based on sub-Nyquist sampling," PCT Patent CN2024/085418 (Pending, February 2, 2024).


Software Copyrights and Technological Achievements

  1. C. Tian, Q. Song, S. Liu, "A photoacoustic image artifact suppression software under limited-view conditions (Version 1.0)," Software Copyright 2025SR1786855 (September 16, 2025).

  2. C. Tian, K. Shen, S. Liu, "Photoacoustic image reconstruction software based on a dual-domain U-Net network (Version 1.0)," Software Copyright 2022SR0572566 (May 11, 2022).

  3. C. Tian, S. Liu, R. Xu, "High spatiotemporal resolution photoacoustic imaging instrument," Technological Achievement 2025N991Y00007287, Department of Science and Technology of Anhui Province (September 30, 2025).


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