Accurate needle guidance is essential for a number of magnetic resonance imaging (MRI)-guided percutaneous procedures, such as radiofrequency ablation (RFA) of metastatic liver tumors. A promising technology to obtain real-time tracking of the shape and tip of a needle is by using high-frequency (up to 20 kHz) fiber Bragg grating (FBG) sensors embedded in optical fibers, which are insensitive to external magnetic fields. We fabricated an MRI-compatible needle designed for percutaneous procedures with a series of FBG sensors which would be tracked in an image-guidance system, allowing to display the needle shape within a navigation image. A series of phantom experiments demonstrated needle tip tracking errors of 1.05 ± 0.08 mm for a needle deflection up to 16.82 mm on a ground-truth model and showed nearly similar accuracy to electromagnetic (EM) tracking (i.e., 0.89 ± 0.09 mm). We demonstrated feasibility of the FBG-based tracking system for MRI-guided interventions with differences under 1 mm between tracking systems. This study establishes the needle tracking accuracy of FBG needle tracking for image-guided procedures.
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September 2017
Technical Briefs
Assessment of the Accuracy of Optical Shape Sensing for Needle Tracking Interventions
Koushik Kanti Mandal,
Koushik Kanti Mandal
Medical Laboratory,
Department of Computer and Software Engineering,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: koushik-kanti.mandal@polymtl.ca
Department of Computer and Software Engineering,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: koushik-kanti.mandal@polymtl.ca
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Francois Parent,
Francois Parent
APCL Laboratory,
Department of Engineering Physics,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: francoisparent87@gmail.com
Department of Engineering Physics,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: francoisparent87@gmail.com
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Raman Kashyap,
Raman Kashyap
APCL Laboratory,
Department of Electrical Engineering
and Engineering Physics,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: raman.kashyap@polymtl.ca
Department of Electrical Engineering
and Engineering Physics,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: raman.kashyap@polymtl.ca
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Sylvain Martel,
Sylvain Martel
NanoRobotics Laboratory,
Department of Computer and Software Engineering,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: sylvain.martel@polymtl.ca
Department of Computer and Software Engineering,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: sylvain.martel@polymtl.ca
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Samuel Kadoury
Samuel Kadoury
Medical Laboratory,
Department of Computer and Software Engineering,
Institute of Biomedical Engineering,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: samuel.kadoury@polymtl.ca
Department of Computer and Software Engineering,
Institute of Biomedical Engineering,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: samuel.kadoury@polymtl.ca
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Koushik Kanti Mandal
Medical Laboratory,
Department of Computer and Software Engineering,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: koushik-kanti.mandal@polymtl.ca
Department of Computer and Software Engineering,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: koushik-kanti.mandal@polymtl.ca
Francois Parent
APCL Laboratory,
Department of Engineering Physics,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: francoisparent87@gmail.com
Department of Engineering Physics,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: francoisparent87@gmail.com
Raman Kashyap
APCL Laboratory,
Department of Electrical Engineering
and Engineering Physics,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: raman.kashyap@polymtl.ca
Department of Electrical Engineering
and Engineering Physics,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: raman.kashyap@polymtl.ca
Sylvain Martel
NanoRobotics Laboratory,
Department of Computer and Software Engineering,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: sylvain.martel@polymtl.ca
Department of Computer and Software Engineering,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: sylvain.martel@polymtl.ca
Samuel Kadoury
Medical Laboratory,
Department of Computer and Software Engineering,
Institute of Biomedical Engineering,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: samuel.kadoury@polymtl.ca
Department of Computer and Software Engineering,
Institute of Biomedical Engineering,
Polytechnique Montréal,
Montréal, QC H3T 1J4, Canada
e-mail: samuel.kadoury@polymtl.ca
1Corresponding author.
Manuscript received August 25, 2016; final manuscript received February 19, 2017; published online June 27, 2017. Assoc. Editor: Chris Rylander.
J. Med. Devices. Sep 2017, 11(3): 034504 (7 pages)
Published Online: June 27, 2017
Article history
Received:
August 25, 2016
Revised:
February 19, 2017
Citation
Mandal, K. K., Parent, F., Kashyap, R., Martel, S., and Kadoury, S. (June 27, 2017). "Assessment of the Accuracy of Optical Shape Sensing for Needle Tracking Interventions." ASME. J. Med. Devices. September 2017; 11(3): 034504. https://doi.org/10.1115/1.4036338
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