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Related Experiment Video

Updated: Jun 1, 2026

Measurement of Maximum Isometric Force Generated by Permeabilized Skeletal Muscle Fibers

Measurement of Maximum Isometric Force Generated by Permeabilized Skeletal Muscle Fibers

Published on: June 16, 2015

Tri-Axial MRI Compatible Fiber-optic Force Sensor.

U-Xuan Tan¹, Bo Yang, Rao Gullapalli

¹Robotics, Automation, and Medical Systems (RAMS) Laboratory, Department of Mechanical Engineering, University of Maryland, College Park, MD, USA.

IEEE Transactions on Robotics : a Publication of the IEEE Robotics and Automation Society

|June 14, 2011

Summary

This summary is machine-generated.

This study developed a novel fiber-optic force sensor for magnetic resonance imaging (MRI) applications. The new sensor minimizes cross-coupling and addresses material hysteresis for improved accuracy during continuous MRI scans.

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A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

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Published on: January 7, 2019

Area of Science:

Biomedical Engineering
Materials Science
Sensor Technology

Background:

Magnetic resonance imaging (MRI) offers superior soft-tissue contrast compared to ultrasound and CT.
Conventional force sensors are often incompatible with MRI environments.
Existing fiber-optic force sensors suffer from cross-coupled measurements along principal axes.

Purpose of the Study:

To minimize cross-coupling in fiber-optic force sensors for MRI.
To design elastic frame structures using topology optimization for enhanced sensor resolution and bandwidth.
To model and mitigate the hysteresis effect in polymer-based sensor materials.

Main Methods:

Topology optimization was employed to design elastic frame structures.
Polymer materials (ABS, Delrin®) were selected for MRI compatibility.
Prandtl-Ishlinskii play operators were used to model and address material hysteresis.

Main Results:

The developed elastic frame structures minimized cross-coupling effects.
Topology optimization successfully maximized sensor resolution and bandwidth.
The Prandtl-Ishlinskii model effectively addressed hysteresis, improving sensor accuracy.

Conclusions:

The novel fiber-optic force sensor demonstrates improved performance and MRI compatibility.
The integrated approach of topology optimization and hysteresis modeling enhances sensor accuracy for MRI applications.
This sensor technology holds promise for advanced applications requiring force measurement within MRI environments.