刘松德  (特任副研究员)

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学位：博士

学科：仪器科学与技术

   
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科学研究

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期刊论文

  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 1%高被引论文)

  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]


会议论文

  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).


科研项目

  1. 国家自然科学基金委员会, 青年科学基金项目（C类）[原青年科学基金项目], 62405306, 主持.

  2. 安徽省科学技术厅, 自然科学基金青年项目, 2408085QF187, 主持.

  3. 中国科学技术大学, 青年创新基金项目, WK2090000083, 主持.

  4. 国家自然科学基金委员会, 面上项目, 12174368, 参与.

  5. 科技部, 国家重点研发计划, 2022YFA1404400, 参与.

  6. 合肥综合性国家科学中心人工智能研究院, 科研团队项目, 21KT016, 参与.

  7. 安徽省科技厅, 科技重大专项, 202203a07020020, 参与.


发明专利

  1. 刘松德, 马腾, 周俊岭, 田超, 基于光声-超声成像的无创血流动力学监测方法和系统, CN202511992006.6, 2025-12-26. (审查中)

  2. 田超, 刘松德, 一种基于环形超声阵列的光声-超声体积成像方法与系统, CN202512008132.X, 2025-12-29. (审查中)

  3. 刘松德, 田超, 谭志坚, 一种基于亚奈奎斯特采样的高频光声计算断层成像方法, PCT/CN2024/085418, 2024-02-02. (审查中)

  4. 田超, 刘松德, 基于时域全波形反演的三维超声断层图像重建方法, ZL202510083910.9, 2025-11-25. (已授权)

  5. 刘松德, 田超, 谭志坚, 一种基于亚奈奎斯特采样的高频光声计算断层成像方法, ZL202410146053.8, 2025-10-28. (已授权)

  6. 田超, 沈康, 刘松德, 基于双域神经网络的训练方法和光声图像重建方法, ZL202111683421.5, 2025-07-15. (已授权)


软件著作权

  1. 田超, 宋庆飞, 刘松德, 一种有限视角条件下光声图像伪影抑制软件V1.0, 软件著作权2025SR1786855, 2025-09-16. (已登记)

  2. 田超, 沈康, 刘松德, 基于双域U-Net网络的光声图像重建软件V1.0, 软件著作权2022SR0572566, 2022-05-11. (已登记)


科技成果

  1. 田超, 刘松德, 徐晓嵘, 高时空分辨率光声成像仪器, 科技成果2025N991Y00007287, 安徽省科学技术厅, 2025-09-30. (已登记)