Opto-Acoustical Feedback System for Smart Laserosteotome

This project aims to develop Opto-Acoustical based sensor that provide feedback during laser surgery. This feedback mechanism will help the surgeon to specifically determine the tissue that being cut and stop the laser when the all desired tissue have been removed. In this way, it will provide high specificity in laser cutting which can prevent cutting important and critical tissues. To develop this sensor, we will investigate the best way possible to measure properties of tissue that being cut by using Opto-Acoustical means. we will design and build the Opto-Acoustical system and integrate it into an endoscopic/fiberscopic laser surgery system. The method will be based on measuring the shock wave generated from laser ablation process which will be merely depend on tissue properties (eq. Mechanical properties). (Herve Nguendon Kenhagho)

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Dr. Sandra Drusová

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Dr. Ferda Canbaz

Prof. Azhar Zam

Prof. Azhar Zam

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Shevchik, S, Nguendon Kenhagho, H, Le‐Quang, T, et al. Machine learning monitoring for laser osteotomy. J. Biophotonics. 2021;e202000352. https://doi.org/10.1002/jbio.202000352

H. Nguendon Kenhagho, F. Canbaz, T.E. Gomez Alvarez-Arenas, R. Guzman, P. Cattin, A. Zam, "Machine learning-based optoacoustic tissue classification method for laser osteotomes using an Air-Coupled Transducer," Lasers Surg. Med. (2020), doi: https://doi.org/10.1002/lsm.23290

H. Nguendon Kenhagho, F. Canbaz, R. Guzman, P. Cattin, and A. Zam, "Miniaturized optoacoustic feedback sensor for smart laser osteotome: Fiber-coupled Fabry-Pérot etalon sensor," Sensors and Actuators A: Physical, vol. 317, p. 112394, 2021, doi: https://doi.org/10.1016/j.sna.2020.112394.

H. Nguendon Kenhagho et al., "Optoacoustic Tissue Classification for Laser Osteotomes Using Mahalanobis Distance-Based Method," in New Trends in Medical and Service Robotics, Cham, G. Rauter, P. C. Cattin, A. Zam, R. Riener, G. Carbone, and D. Pisla, Eds., 2021: Springer International Publishing, pp. 202-210. doi: https://doi.org/10.1007/978-3-030-58104-6_23

H. Nguendon Kenhagho, F. Canbaz, R. Guzman, P. Cattin, and A. Zam, "Miniaturized optoacoustic feedback sensor for smart laser osteotome: Fiber-coupled Fabry-Pérot etalon sensor," Sensors and Actuators A: Physical, vol. 317, p. 112394, 2021, doi: https://doi.org/10.1016/j.sna.2020.112394.

H. N. Kenhagho, F. Canbaz, G. Rauter, R. Guzman, P. Cattin and A. Zam, "A First Approach to Miniaturized Optoacoustic Feedback Sensor for Smart Laser Osteotome : Fiber-Coupled Fabry-Pérot Etalon", Sensor. 2019 IEEE SENSORS, Montreal, QC, Canada, 2019, doi: https://doi.org/10.1109/SENSORS43011.2019.8956743 

H. N. Kenhagho, I. Sugiarto, R. Guzman, P. Cattin and A. Zam, "Contact-free Crater Depth Monitoring Using Measured Acoustic Shock Waves for Smart Laser Surgery Applications: Preliminary Result," International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET), Tangerang, Indonesia (23-24 Oct. 2019) doi: https://doi.org/10.1109/ICRAMET47453.2019.8980427

H. N. Kenhagho, S. Shevchik, F. Saeidi, N. Faivre, B. Meylan, G. Rauter, R.Guzman, P. C. Cattin, K. Wasmer, A. Zam, "Characterization of Ablated Bone and Muscle for Long-Pulsed Laser Ablation in Dry and Wet Conditions." Materials 2019, 12, 1338. doi: https://doi.org/10.3390/ma12081338 IF=2.467.

H. N. Kenhagho, G. Rauter, R. Guzman, P. Cattin and A. Zam, "Optoacoustic Tissue Differentiation Using a Mach-Zehnder Interferometer: Preliminary Results," 2018 IEEE International Ultrasonics Symposium (IUS), Kobe/Japan, pp. 1-9 (2018) doi: https://doi.org/10.1109/ULTSYM.2018.8579654

H. N. Kenhagho, G. Rauter, R. Guzman, P. C. Cattin, and A. Zam, "Comparison of acoustic shock waves generated by micro and nanosecond lasers for a smart laser surgery system," in SPIE BiOS, San Francisco/USA, , vol. 10484 (2018) doi: https://doi.org/10.1117/12.2290094

H. N. Kenhagho, N. Faivre, B, Meylan, S. Shevchik, G. Rauter, R. Guzman, P. C. Cattin, K. Wasmer, and A. Zam, "Characterization of ablated porcine bone and muscle using laser-induced acoustic wave method for tissue differentiation," in European Conferences on Biomedical Optics, Munich/Germany, SPIE, vol. 10417, p. 10 (2017) doi: https://doi.org/10.1117/12.2286121