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. Author manuscript; available in PMC: 2019 Oct 1.
Published in final edited form as: Ann Biomed Eng. 2018 Jun 19;46(10):1479–1497. doi: 10.1007/s10439-018-2075-x

Table 3:

MRI robotic system for breast cancer intervention

Year Team Study type Accuracy DOF Actuation type Control type SNR Design Institute
2014 Yang et al. [62] Animal study The target was reached in total of 50 minutes 6 DOF 5 pneumatic cylinders
1 Piezomotor
Interactive MRI
master–slave
Less than 8% drop 5 DOF robot
1 DOF needle drive
University of Maryland
2016 Chan et al. [63] In air 0.34 mm 6 DOF Piezoelectric
motors
- 13% drop in 1.5 Tesla
2.5% drop in 3.0 Tesla
3 subsystems: the manipulator, a toolset, and a patient support McMaster University
2017 Park et al. [59] Phantom 2.3 mm 4 DOF Piezoelectric
motors
Automated needle drive acceptable for manual and automatic image segmentation Bendable needle
curved trajectory
National Cancer Center
Republic of Korea
2017 Navarro-Alarcon et al. [65] Phantom ±0.4 mm x and y
And ±1.5 mm insertion
3 DOF Piezo motors and pneumatic actuators Automated needle drive No significant degradation of the MR images Cartesian mechanism The Chinese University of Hong Kong
2017 Groenhuis et al. [66] In air Mean 0.7 mm, with a reproducibility of 0.1 mm 4 DOF Linear and curved pneumatic stepper motors Manual mode and automatic mode - Serial kinematic chain University of Twente
2017 Zhang et al. [67] Phantom - 7 DOF Flexible shafts and remote DC motors - - Positioning module (4 DOF)
Puncturing module
Biopsy module
Storage module
School of Harbin University of Science and Technology