A Microfluidic-based Tactile Sensor for Palpating Mice Tumor Tissues
Yichao Yang, Garett Johnson, Dean Krusienski, Siqi Guo, Cheng Lin, Zhili Hao
2016
Abstract
In light of the need of tissue palpation for Robotics-assisted Minimally Invasive Surgery (RMIS), this paper presents a microfluidic-based tactile sensor for palpating mice tissues for tumor localization. The core of the sensor is a 3x3 sensing-plate/transducer array built into a single polydimethylsiloxane (PDMS) microstructure, with a transducer spacing of 3.75mmx1.5mm. Mounted on a robot, the sensor is pressed against a tissue region with a pre-defined indentation depth pattern, and consequently the stiffness distribution across the tissue region translates to the deflection distribution of the sensing-plate array and is captured by the transducer array underneath as resistance changes. Thus, the recorded data on a tissue region is the sensor deflection as a function of the indentation depth. While the continuous manner of the sensor interacting with a tissue region alleviates the error resulting from non-ideal normal contact between the sensor and the tissue region, the error related to uncertainty in contact point is removed by interpreting the palpation results in terms of the slope of the sensor deflection versus the indentation depth. Two mice tumor tissues are palpated using the sensor. After their noise being removed, the raw data on the two tissues are processed to obtain their slope distribution, the slope error and the percentage error in the slope. The slope distribution of each tissue clearly illustrates the location of a tumor. The palpation results also indicate that this sensor can be integrated into a robotic-assisted system for tumor localization.
References
- Anastassopoulos, G. T., Lytras, J. G., Sunaric, M. M., Moulianitis, V. C., Panteliou, S. D., Bekos, A., Kalinderis, N. and Hatzichristou, D., 2001. Optical device for prostate cancer detection. In 6th National Congress of Mechanics (p.381).
- Beccani, M., Di Natali, C., Benjamin, C. E., Bell, C. S., Hall, N. E. and Valdastri, P., 2015. Wireless tissue palpation: Head characterization to improve tumor detection in soft tissue. Sensors and Actuators A: Physical, 223, pp.180-190.
- Dargahi, J. and Najarian, S., 2003. An integrated forceposition tactile sensor for improving diagnostic and therapeutic endoscopic surgery. Bio-medical materials and engineering, 14(2), pp.151-166.
- Girão, P. S., Ramos, P. M. P., Postolache, O. and Pereira, J. M. D., 2013. Tactile sensors for robotic applications. Measurement, 46(3), pp.1257-1271.
- Gu, W., Cheng, P., Ghosh, A., Liao, Y., Liao, B., Beskok, A. and Hao, Z., 2013a. Detection of distributed static and dynamic loads with electrolyte-enabled distributed transducers in a polymer-based microfluidic device. Journal of Micromechanics and Microengineering, 23(3), p.035015.
- Gu, W., Cheng, P., Palmer, X. L. and Hao, Z., 2013b. Concurrent spatial mapping of the elasticity of heterogeneous soft materials via a polymer-based microfluidic device. Journal of Micromechanics and Microengineering, 23(10), p.105007.
- Guthart, G. and Salisbury Jr, J.K., 2000. The intuitive™ telesurgery system: Overview and application. In International Conference on Robotics and Automation (pp. 618-621).
- Konstantinova, J., Jiang, A., Althoefer, K., Dasgupta, P. and Nanayakkara, T., 2014. Implementation of tactile sensing for palpation in robot-assisted minimally invasive surgery: A review. Sensors Journal, IEEE, 14(8), pp.2490-2501.
- Krouskop, T. A., Wheeler, T. M., Kallel, F., Garra, B. S. and Hall, T., 1998. Elastic moduli of breast and prostate tissues under compression. Ultrasonic imaging, 20(4), pp.260-274.
- Lanfranco, A. R., Castellanos, A. E., Desai, J. P. and Meyers, W. C., 2004. Robotic surgery: a current perspective. Annals of surgery, 239(1), p.14.
- Ottermo, M. V., Øvstedal, M., Langø, T., Stavdahl, Ø., Yavuz, Y., Johansen, T. A. and Mårvik, R., 2006. The role of tactile feedback in laparoscopic surgery. Surgical Laparoscopy Endoscopy & Percutaneous Techniques, 16(6), pp.390-400.
- Panteliou, S. D., Sunaric, M. M., Sarris, J., Anastassopoulos, G., Lytras, J. and Hatzichristou, D. G., 2000. Design of a device for the objective assessment of the mechanical properties of the prostate gland. In International Conference on Role of Mesomechanics for the Development of Science and Technology.
- Puangmali, P., Althoefer, K., Seneviratne, L. D., Murphy, D. and Dasgupta, P., 2008. State-of-the-art in force and tactile sensing for minimally invasive surgery. Sensors Journal, IEEE, 8(4), pp.371-381.
- Schostek, S., Schurr, M. O. and Buess, G. F., 2009. Review on aspects of artificial tactile feedback in laparoscopic surgery. Medical Engineering & Physics, 31(8), pp.887-898.
- Su, Z., Fishel, J. A., Yamamoto, T. and Loeb, G. E., 2012. Use of tactile feedback to control exploratory movements to characterize object compliance. Frontiers in neurorobotics, 6.
- Talasaz, A. and Patel, R. V., 2013. Integration of force reflection with tactile sensing for minimally invasive robotics-assisted tumor localization. Haptics, IEEE Transactions on, 6(2), pp.217-228.
- Tiwana, M. I., Redmond, S. J. and Lovell, N. H., 2012. A review of tactile sensing technologies with applications in biomedical engineering. Sensors and Actuators A: physical, 179, pp.17-31.
- Trejos, A. L., Jayender, J., Perri, M. P., Naish, M. D., Patel, R. V. and Malthaner, R. A., 2009. Robotassisted tactile sensing for minimally invasive tumor localization. The International Journal of Robotics Research.
- Uranues, S., Maechler, H., Bergmann, P., Huber, S., Hoebarth, G., Pfeifer, J., Rigler, B., Tscheliessnigg, K. H. and Mischinger, H. J., 2002. Early experience with telemanipulative abdominal and cardiac surgery with the Zeus™ Robotic System. European Surgery, 34(3), pp.190-193.
- Wanninayake, I. B., Dasgupta, P., Seneviratne, L. D. and Althoefer, K., 2013. Air-float palpation probe for tissue abnormality identification during minimally invasive surgery. Biomedical Engineering, IEEE Transactions on, 60(10), pp.2735-2744.
- Yang, Y., Shen, J. and Hao, Z., 2015b. A two-dimensional (2D) distributed-deflection sensor for tissue palpation with correction mechanism for its performance variation. under review.
- Zhao, S., Parks, D. and Liu, C., 2013. Design and Modeling of a Wide Dynamic-Range Hardness Sensor for Biological Tissue Assessment. Sensors Journal, IEEE, 13(12), pp.4613-4620.
Paper Citation
in Harvard Style
Yang Y., Johnson G., Krusienski D., Guo S., Lin C. and Hao Z. (2016). A Microfluidic-based Tactile Sensor for Palpating Mice Tumor Tissues . In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 83-92. DOI: 10.5220/0005705600830092
in Bibtex Style
@conference{biodevices16,
author={Yichao Yang and Garett Johnson and Dean Krusienski and Siqi Guo and Cheng Lin and Zhili Hao},
title={A Microfluidic-based Tactile Sensor for Palpating Mice Tumor Tissues},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES, (BIOSTEC 2016)},
year={2016},
pages={83-92},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005705600830092},
isbn={978-989-758-170-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES, (BIOSTEC 2016)
TI - A Microfluidic-based Tactile Sensor for Palpating Mice Tumor Tissues
SN - 978-989-758-170-0
AU - Yang Y.
AU - Johnson G.
AU - Krusienski D.
AU - Guo S.
AU - Lin C.
AU - Hao Z.
PY - 2016
SP - 83
EP - 92
DO - 10.5220/0005705600830092