JOURNAL ARTICLE

Triaxial MRI-Compatible Fiber-optic Force Sensor

U-Xuan TanBo YangRao P. GullapalliJaydev P. Desai

Year: 2010 Journal:   IEEE Transactions on Robotics Vol: 27 (1)Pages: 65-74   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Magnetic resonance imaging (MRI) has been gaining popularity over standard imaging modalities like ultrasound and CT because of its ability to provide excellent soft-tissue contrast. However, due to the working principle of MRI, a number of conventional force sensors are not compatible. One popular solution is to develop a fiber-optic force sensor. However, the measurements along the principal axes of a number of these force sensors are highly cross-coupled. One of the objectives of this paper is to minimize this coupling effect. In addition, this paper describes the design of elastic frame structures that are obtained systematically using topology optimization techniques for maximizing sensor resolution and sensor bandwidth. Through the topology optimization approach, we ensure that the frames are linked from the input to output. The elastic frame structures are then fabricated using polymers materials, such as ABS and Delrin(®), as they are ideal materials for use in MRI environment. However, the hysteresis effect seen in the displacement-load graph of plastic materials is known to affect the accuracy. Hence, this paper also proposes modeling and addressing this hysteretic effect using Prandtl-Ishlinskii play operators. Finally, experiments are conducted to evaluate the sensor's performance, as well as its compatibility in MRI under continuous imaging.

Keywords:
Computer science Topology (electrical circuits) Topology optimization Maximization Artificial intelligence Acoustics Physics Structural engineering Mathematics Engineering Mathematical optimization Electrical engineering

Metrics

58
Cited By
12.06
FWCI (Field Weighted Citation Impact)
32
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Piezoelectric Actuators and Control
Physical Sciences →  Engineering →  Control and Systems Engineering
Topology Optimization in Engineering
Physical Sciences →  Engineering →  Civil and Structural Engineering
Advanced MEMS and NEMS Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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