Real-Time 2D Surface Profile Mapping of Biological Tissue with Force Feedback in Robot-Assisted Minimally Invasive Surgery

Article Preview

Abstract:

It has been more than 20 years that robot-assisted minimally invasive surgery (RMIS) has brought remarkable accuracy and dexterity for surgeons along with the decreasing trauma for the patients. In this paper a novel method of the tissue’s surface profile mapping is proposed. The tissue surface profile plays an important role for material identification during RMIS. It is shown how by integrating the force feedback into robot controller the surface profile of the tissue can be obtained with force feedback scanning. The experiment setup includes a 5 degree of freedoms (DOFs) robot which is equipped with a strain-gauge ball caster as the force feedback. Robot joint encoders signals and the captured force signal of the strain-gauge are transferred to developed surface transformation algorithm (STA). The real-time geometrical transformation process is triggered with force signal to identify contact points between the ball caster and the artificial tissue. The 2D surface profile of tissue will be mapped based on these contact points. Real-time capability of the proposed system is evaluated experimentally for the artifical tissues in a designed test rig.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

319-323

Citation:

Online since:

October 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] J. K. Kam, , S. D. Cooray, J. K. Kam, J. A. Smith, and A. A. Almeida. A cost-analysis study of robotic versus conventional mitral valve repair. Heart, Lung and Circulation, 19(7), (2010), pp.413-418.

DOI: 10.1016/j.hlc.2010.02.009

Google Scholar

[2] M. R. Dylewski, A. C. Ohaeto, and J. F. Pereira. Pulmonary resection using a total endoscopic robotic video-assisted approach. InSeminars in thoracic and cardiovascular surgery. Vol. 23, No. 1, pp.36-42). (2011). WB Saunders.

DOI: 10.1053/j.semtcvs.2011.01.005

Google Scholar

[3] J. Li, Y. Xing, K. Liang, and S. Wang. Kinematic Design of a Novel Spatial Remote Center-of-Motion Mechanism for Minimally Invasive Surgical Robot. Journal of Medical Devices, 9(1), (2015): 011003.

DOI: 10.1115/1.4028651

Google Scholar

[4] Najarian, S., Dargahi, J. and Mehrizi, A., Artificial tactile sensing in biomedical engineering. McGraw Hill Professional, 2009, p.189.

Google Scholar

[5] J. Dargahi, S. Sokhanvar, S. Najarian, and S. Arbatani. Tactile Sensing and Display: Haptic Feedback For Minimally Invasive Surgery And Robotics. John Wiley & Sons, (2012).

DOI: 10.1002/9781118357989

Google Scholar

[6] E. Samur, M. Sedef, C. Basdogan, L. Avtan, and O. Duzgun. A robotic indenter for minimally invasive measurement and characterization of soft tissue response., Medical Image Analysis 11, no. 4 (2007), pp.361-373.

DOI: 10.1016/j.media.2007.04.001

Google Scholar

[7] I. B. Wanninayake, P. Dasgupta, L.D. Seneviratne, and K. Althoefer. Air-float palpation probe for tissue abnormality identification during minimally invasive surgery. Biomedical Engineering, IEEE Transactions on 60, no. 10 (2013): 2735-2744.

DOI: 10.1109/tbme.2013.2264287

Google Scholar

[8] Information on http: /www. quanser. com/Products/quarc/documentation/quarc_using_devices_robots. html#catalyst.

Google Scholar

[9] Information on http: /www. phidgets. com/products. php?product_id=3132.

Google Scholar

[10] Information on https: /www. pololu. com/product/952.

Google Scholar

[11] A. Atieh. Design, Modeling, Fabrication and Testing of a Piezoresistive-Based Tactile Sensor for Minimally Invasive Surgery Applications. Master Dissertation., Concordia University, (2012).

Google Scholar