Towards MRI-guided flexible needle steering using fiber Bragg grating-based tip tracking

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    4 Citations (Scopus)

    Abstract

    The use of magnetic resonance (MR) images for needle-based interventions offers several advantages over other types of imaging modalities (e.g., high tissue contrast and no radiation). However, MR-guided interventions face challenges related to electromagnetic compatibility of medical devices and real-time tracking of surgical instruments. This work presents a flexible needle steering system that combines an MR-compatible robot and a Fiber Bragg Grating (FBG)-based needle tip tracker. The MR images are used to localize obstacles and targets, while the FBG sensors provide strain measurements for online estimation of the needle tip position. A pre-operative planner defines the needle entry point and desired path, while a model predictive controller calculates the needle rotation during the insertion. To the best of the authors knowledge, this is the first work that fuses MR images and FBG-based tracking to steer a flexible needle in closed-loop inside the MR bore. The system is validated by steering a bevel-tipped flexible needle towards a physical target in gelatin phantoms and biological tissues. The needle reaches the target in all trials with an average targeting error of 2.76 mm. Disregarding the target displacement during the insertion, the average targeting error drops to 1.74 mm. The preliminary results demonstrate the feasibility of combining MR images and FBG-based needle tip tracking to steer a flexible needle in clinical procedures. In order to move towards to a clinically-relevant application, the design of a flexible Nitinol biopsy needle is also presented and evaluated by experiments in a prostate of a bull. The flexible needle presented a curvature 2.5 times larger than a conventional biopsy needle while maintaining the ability to collect tissue samples.

    Original languageEnglish
    Title of host publicationICRA 2017 - IEEE International Conference on Robotics and Automation
    PublisherIEEE
    Pages4849-4854
    Number of pages6
    ISBN (Electronic)9781509046331
    ISBN (Print)9781509046348
    DOIs
    Publication statusPublished - 21 Jul 2017
    Event2017 IEEE International Conference on Robotics and Automation, ICRA 2017: Innovation, Entrepreneurship, and Real-world Solutions - Singapore, Singapore
    Duration: 29 May 20173 Jun 2017
    http://www.icra2017.org/

    Conference

    Conference2017 IEEE International Conference on Robotics and Automation, ICRA 2017
    Abbreviated titleICRA 2017
    CountrySingapore
    CitySingapore
    Period29/05/173/06/17
    Internet address

    Fingerprint

    Fiber Bragg gratings
    Needles
    Magnetic resonance imaging
    Magnetic resonance
    Biopsy
    Tissue
    Strain measurement
    Electromagnetic compatibility
    Electric fuses

    Cite this

    Moreira, P., Boskma, K. J., & Misra, S. (2017). Towards MRI-guided flexible needle steering using fiber Bragg grating-based tip tracking. In ICRA 2017 - IEEE International Conference on Robotics and Automation (pp. 4849-4854). [7989564] IEEE. https://doi.org/10.1109/ICRA.2017.7989564
    Moreira, Pedro ; Boskma, Klaas Jelmer ; Misra, Sarthak. / Towards MRI-guided flexible needle steering using fiber Bragg grating-based tip tracking. ICRA 2017 - IEEE International Conference on Robotics and Automation. IEEE, 2017. pp. 4849-4854
    @inproceedings{aec030a55dc949dd8c52845331b8dad6,
    title = "Towards MRI-guided flexible needle steering using fiber Bragg grating-based tip tracking",
    abstract = "The use of magnetic resonance (MR) images for needle-based interventions offers several advantages over other types of imaging modalities (e.g., high tissue contrast and no radiation). However, MR-guided interventions face challenges related to electromagnetic compatibility of medical devices and real-time tracking of surgical instruments. This work presents a flexible needle steering system that combines an MR-compatible robot and a Fiber Bragg Grating (FBG)-based needle tip tracker. The MR images are used to localize obstacles and targets, while the FBG sensors provide strain measurements for online estimation of the needle tip position. A pre-operative planner defines the needle entry point and desired path, while a model predictive controller calculates the needle rotation during the insertion. To the best of the authors knowledge, this is the first work that fuses MR images and FBG-based tracking to steer a flexible needle in closed-loop inside the MR bore. The system is validated by steering a bevel-tipped flexible needle towards a physical target in gelatin phantoms and biological tissues. The needle reaches the target in all trials with an average targeting error of 2.76 mm. Disregarding the target displacement during the insertion, the average targeting error drops to 1.74 mm. The preliminary results demonstrate the feasibility of combining MR images and FBG-based needle tip tracking to steer a flexible needle in clinical procedures. In order to move towards to a clinically-relevant application, the design of a flexible Nitinol biopsy needle is also presented and evaluated by experiments in a prostate of a bull. The flexible needle presented a curvature 2.5 times larger than a conventional biopsy needle while maintaining the ability to collect tissue samples.",
    author = "Pedro Moreira and Boskma, {Klaas Jelmer} and Sarthak Misra",
    year = "2017",
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    Moreira, P, Boskma, KJ & Misra, S 2017, Towards MRI-guided flexible needle steering using fiber Bragg grating-based tip tracking. in ICRA 2017 - IEEE International Conference on Robotics and Automation., 7989564, IEEE, pp. 4849-4854, 2017 IEEE International Conference on Robotics and Automation, ICRA 2017, Singapore, Singapore, 29/05/17. https://doi.org/10.1109/ICRA.2017.7989564

    Towards MRI-guided flexible needle steering using fiber Bragg grating-based tip tracking. / Moreira, Pedro ; Boskma, Klaas Jelmer; Misra, Sarthak.

    ICRA 2017 - IEEE International Conference on Robotics and Automation. IEEE, 2017. p. 4849-4854 7989564.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    Y1 - 2017/7/21

    N2 - The use of magnetic resonance (MR) images for needle-based interventions offers several advantages over other types of imaging modalities (e.g., high tissue contrast and no radiation). However, MR-guided interventions face challenges related to electromagnetic compatibility of medical devices and real-time tracking of surgical instruments. This work presents a flexible needle steering system that combines an MR-compatible robot and a Fiber Bragg Grating (FBG)-based needle tip tracker. The MR images are used to localize obstacles and targets, while the FBG sensors provide strain measurements for online estimation of the needle tip position. A pre-operative planner defines the needle entry point and desired path, while a model predictive controller calculates the needle rotation during the insertion. To the best of the authors knowledge, this is the first work that fuses MR images and FBG-based tracking to steer a flexible needle in closed-loop inside the MR bore. The system is validated by steering a bevel-tipped flexible needle towards a physical target in gelatin phantoms and biological tissues. The needle reaches the target in all trials with an average targeting error of 2.76 mm. Disregarding the target displacement during the insertion, the average targeting error drops to 1.74 mm. The preliminary results demonstrate the feasibility of combining MR images and FBG-based needle tip tracking to steer a flexible needle in clinical procedures. In order to move towards to a clinically-relevant application, the design of a flexible Nitinol biopsy needle is also presented and evaluated by experiments in a prostate of a bull. The flexible needle presented a curvature 2.5 times larger than a conventional biopsy needle while maintaining the ability to collect tissue samples.

    AB - The use of magnetic resonance (MR) images for needle-based interventions offers several advantages over other types of imaging modalities (e.g., high tissue contrast and no radiation). However, MR-guided interventions face challenges related to electromagnetic compatibility of medical devices and real-time tracking of surgical instruments. This work presents a flexible needle steering system that combines an MR-compatible robot and a Fiber Bragg Grating (FBG)-based needle tip tracker. The MR images are used to localize obstacles and targets, while the FBG sensors provide strain measurements for online estimation of the needle tip position. A pre-operative planner defines the needle entry point and desired path, while a model predictive controller calculates the needle rotation during the insertion. To the best of the authors knowledge, this is the first work that fuses MR images and FBG-based tracking to steer a flexible needle in closed-loop inside the MR bore. The system is validated by steering a bevel-tipped flexible needle towards a physical target in gelatin phantoms and biological tissues. The needle reaches the target in all trials with an average targeting error of 2.76 mm. Disregarding the target displacement during the insertion, the average targeting error drops to 1.74 mm. The preliminary results demonstrate the feasibility of combining MR images and FBG-based needle tip tracking to steer a flexible needle in clinical procedures. In order to move towards to a clinically-relevant application, the design of a flexible Nitinol biopsy needle is also presented and evaluated by experiments in a prostate of a bull. The flexible needle presented a curvature 2.5 times larger than a conventional biopsy needle while maintaining the ability to collect tissue samples.

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    Moreira P, Boskma KJ, Misra S. Towards MRI-guided flexible needle steering using fiber Bragg grating-based tip tracking. In ICRA 2017 - IEEE International Conference on Robotics and Automation. IEEE. 2017. p. 4849-4854. 7989564 https://doi.org/10.1109/ICRA.2017.7989564