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Technical Brief

Real-Time Tissue Differentiation Using Fiber Optic Sensing in Laser Catheters1

[+] Author and Article Information
Darrin Beekman, Sachin Bijadi, Timothy Kowalewski

Department of Mechanical Engineering,
University of Minnesota,
111 Church Street SE,
Minneapolis, MN 55455

Accepted and presented at the Design of Medical Devices Conference (DMD2014), Minneapolis, MN, April 7–10, 2014.DOI: 10.1115/1.4027079

Manuscript received February 21, 2014; final manuscript received March 3, 2014; published online July 21, 2014. Editor: Arthur G. Erdman.

J. Med. Devices 8(3), 030934 (Jul 21, 2014) (2 pages) Paper No: MED-14-1085; doi: 10.1115/1.4027079 History: Received February 21, 2014; Revised March 03, 2014

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References

Dario, P., Hannaford, B., and Menciassi, A., 2003, “Smart Surgical Tools and Augmenting Devices,” IEEE Trans. Rob. Autom., 19(5), pp. 782–792. [CrossRef]
Wagner, C. R., Stylopoulos, N., and Howe, R. D., 2002, “The Role of Force Feedback in Surgery: Analysis of Blunt Dissection,” 10th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (HAPTICS 2002), Orlando, FL, March 24–25, pp. 68–74. [CrossRef]
Rebello, K. J., 2004, “Applications of MEMS in Surgery,” Proc. IEEE, 92(1), pp. 43–55. [CrossRef]
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,” IEEE Sens. J., 8(4), pp. 371–381. [CrossRef]
Tangermann, K., Roth, S., Muller, D., Tragler, H., Uller, J., and Rupprecht, S., 2003, “Sensor-Controlled Laser Processes for Medical Applications,” Proc. SPIE, 5287, pp. 24–34. [CrossRef]
Stelzle, F., Tangermann-Gerk, K., Adler, W., Zam, A., Schmidt, M., Douplik, A., and Nkenke, E., 2010, “Diffuse Reflectance Spectroscopy for Optical Soft Tissue Differentiation as Remote Feedback Control for Tissue-Specific Laser Surgery,” Lasers Surg. Med., 42(4), pp. 319–325. [CrossRef] [PubMed]
White, L., Kowalewski, T., Hannaford, B., and Lendvay, T., 2011, “Surgtrak: Affordable Motion Tracking and Video Capture for the da Vinci Surgical Robot,” Society of American Gastrointestinal and Endoscopic Surgeons Annual Meeting (SAGES 2011), San Antonio, TX, March 30–April 2, Vol. 1, p. 204.

Figures

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Fig. 1

(a) Experimental setup, (b) distal tool-tip with the return-input fibers, and (c) source fibers illuminated. (d) The proximal end of the illuminated four input fibers and (e) the source fibers inside the standard connector (fiber images provided by Spectranetics Corp.).

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Fig. 2

(a) Footage of blood versus tissue experiment with the instrumented tool-tip vertically suspended and (b) the SVC identification experiment in blood flow. The IMU was used to determine contact angle (results of IMU data not shown).

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Fig. 3

Differentiation in optical properties between blood and tissue and SVC identification

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Fig. 4

The RGB data from a single fiber plotted against distance from tissue boundary shows tissue presence is detectable before contact with the tool-tip. Data from halogen intensity level 5.

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