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Development of a shoulder-mounted robot for MRI-guided needle placement: phantom study

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

This paper presents new quantitative data on a signal-to-noise ratio (SNR) study, distortion study, and targeting accuracy phantom study for our patient-mounted robot (called Arthrobot). Arthrobot was developed as an MRI-guided needle placement device for diagnostic and interventional procedures such as arthrography.

Methods

We present the robot design and inverse kinematics. Quantitative assessment results for SNR and distortion study are also reported. A respiratory motion study was conducted to evaluate the shoulder mounting method. A phantom study was conducted to investigate end-to-end targeting accuracy. Combined error considering targeting accuracy, respiratory motion, and structure deformation is also reported.

Results

The SNR study showed that the SNR changes only 2% when the unpowered robot was placed on top of a standard water phantom. The distortion study showed that the maximum distortion from the ground truth was 2.57%. The average error associated with respiratory motion was 1.32 mm with standard deviation of 1.38 mm. Results of gel phantom targeting studies indicate average needle placement error of 1.64 mm, with a standard deviation of 0.90 mm.

Conclusions

Noise and distortion of the MR images were not significant, and image quality in the presence of the robot was satisfactory for MRI-guided targeting. Combined average total error, adding mounting stability errors and structure deformation errors to targeting error, is estimated to be 3.4 mm with a standard deviation of 1.65 mm. In clinical practice, needle placement accuracy under 5 mm is considered sufficient for successful joint injection during shoulder arthrography. Therefore, for the intended clinical procedure, these results indicate that Arthrobot has sufficient positioning accuracy.

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Funding

This work was partially supported by the National Institutes of Health (NIH) under Grants R01EB020003 and R21EB020700.

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Authors and Affiliations

  1. Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Health System, Washington, DC, USA

    Reza Monfaredi, Emmanuel Wilson, Karun Sharma & Kevin Cleary

  2. Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA

    Iulian Iordachita

  3. Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA

    Raymond Sze

  4. Department of Mechanical Engineering, University of Maryland, College Park, MD, USA

    Axel Krieger

  5. Department of Diagnostic Imaging and Radiology, Children’s National Health System, Washington, DC, USA

    Stanley Fricke

Authors
  1. Reza Monfaredi
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  2. Iulian Iordachita
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  3. Emmanuel Wilson
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  4. Raymond Sze
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  5. Karun Sharma
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  6. Axel Krieger
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  7. Stanley Fricke
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  8. Kevin Cleary
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Corresponding author

Correspondence to Reza Monfaredi.

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Conflict of interest

There is no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were IRB-approved and were in accordance with the ethical standards of the institutional and/or national research committee.

Informed consent

Informed consent was obtained from all individual participants included in the study.

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Cite this article

Monfaredi, R., Iordachita, I., Wilson, E. et al. Development of a shoulder-mounted robot for MRI-guided needle placement: phantom study. Int J CARS 13, 1829–1841 (2018). https://doi.org/10.1007/s11548-018-1839-y

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  • DOI: https://doi.org/10.1007/s11548-018-1839-y

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