Literature DB >> 28652857

Fiber Optic Force Sensors for MRI-Guided Interventions and Rehabilitation: A Review.

Hao Su1, Iulian I Iordachita2, Junichi Tokuda3, Nobuhiko Hata3, Xuan Liu4, Reza Seifabadi5, Sheng Xu5, Bradford Wood5, Gregory S Fischer6.   

Abstract

Magnetic Resonance Imaging (MRI) provides both anatomical imaging with excellent soft tissue contrast and functional MRI imaging (fMRI) of physiological parameters. The last two decades have witnessed the manifestation of increased interest in MRI-guided minimally invasive intervention procedures and fMRI for rehabilitation and neuroscience research. Accompanying the aspiration to utilize MRI to provide imaging feedback during interventions and brain activity for neuroscience study, there is an accumulated effort to utilize force sensors compatible with the MRI environment to meet the growing demand of these procedures, with the goal of enhanced interventional safety and accuracy, improved efficacy and rehabilitation outcome. This paper summarizes the fundamental principles, the state of the art development and challenges of fiber optic force sensors for MRI-guided interventions and rehabilitation. It provides an overview of MRI-compatible fiber optic force sensors based on different sensing principles, including light intensity modulation, wavelength modulation, and phase modulation. Extensive design prototypes are reviewed to illustrate the detailed implementation of these principles. Advantages and disadvantages of the sensor designs are compared and analyzed. A perspective on the future development of fiber optic sensors is also presented which may have additional broad clinical applications. Future surgical interventions or rehabilitation will rely on intelligent force sensors to provide situational awareness to augment or complement human perception in these procedures.

Entities:  

Keywords:  Fabry-Perot interferometer (FPI); Fiber optic sensor; MRI compatible robot; fiber Bragg grating (FBG); haptics; image-guided interventions; neuroscience; percutaneous interventions; rehabilitation

Year:  2017        PMID: 28652857      PMCID: PMC5482288          DOI: 10.1109/JSEN.2017.2654489

Source DB:  PubMed          Journal:  IEEE Sens J        ISSN: 1530-437X            Impact factor:   3.301


  35 in total

1.  Real-Time Estimation of 3-D Needle Shape and Deflection for MRI-Guided Interventions.

Authors:  Yong-Lae Park; Santhi Elayaperumal; Bruce Daniel; Seok Chang Ryu; Mihye Shin; Joan Savall; Richard J Black; Behzad Moslehi; Mark R Cutkosky
Journal:  IEEE ASME Trans Mechatron       Date:  2010-12       Impact factor: 5.303

2.  Visualizing ultrasonically induced shear wave propagation using phase-sensitive optical coherence tomography for dynamic elastography.

Authors:  Thu-Mai Nguyen; Shaozhen Song; Bastien Arnal; Zhihong Huang; Matthew O'Donnell; Ruikang K Wang
Journal:  Opt Lett       Date:  2014-02-15       Impact factor: 3.776

3.  Quantitative optical coherence elastography based on fiber-optic probe for in situ measurement of tissue mechanical properties.

Authors:  Yi Qiu; Yahui Wang; Yiqing Xu; Namas Chandra; James Haorah; Basil Hubbi; Bryan J Pfister; Xuan Liu
Journal:  Biomed Opt Express       Date:  2016-01-26       Impact factor: 3.732

Review 4.  Fiber-optic sensors for monitoring patient physiological parameters: a review of applicable technologies and relevance to use during magnetic resonance imaging procedures.

Authors:  Łukasz Dziuda
Journal:  J Biomed Opt       Date:  2015-01       Impact factor: 3.170

5.  An MR-compatible force sensor based on FBG technology for biomedical application.

Authors:  P Saccomandi; M A Caponero; A Polimadei; M Francomano; D Formica; D Accoto; E Tamilia; F Taffoni; G Di Pino; E Schena
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

6.  Design and Evaluation of a Cable-Driven fMRI-Compatible Haptic Interface to Investigate Precision Grip Control.

Authors:  Bogdan Vigaru; James Sulzer; Roger Gassert
Journal:  IEEE Trans Haptics       Date:  2015-10-01       Impact factor: 2.487

7.  Detection of Membrane Puncture with Haptic Feedback using a Tip-Force Sensing Needle.

Authors:  Santhi Elayaperumal; Jung Hwa Bae; Bruce L Daniel; Mark R Cutkosky
Journal:  Rep U S       Date:  2014-09

8.  In vivo three-dimensional optical coherence elastography.

Authors:  Brendan F Kennedy; Xing Liang; Steven G Adie; Derek K Gerstmann; Bryden C Quirk; Stephen A Boppart; David D Sampson
Journal:  Opt Express       Date:  2011-03-28       Impact factor: 3.894

9.  Miniature fiber-optic force sensor based on low-coherence Fabry-Pérot interferometry for vitreoretinal microsurgery.

Authors:  Xuan Liu; Iulian I Iordachita; Xingchi He; Russell H Taylor; Jin U Kang
Journal:  Biomed Opt Express       Date:  2012-04-19       Impact factor: 3.732

Review 10.  Optical fiber-based MR-compatible sensors for medical applications: an overview.

Authors:  Fabrizio Taffoni; Domenico Formica; Paola Saccomandi; Giovanni Di Pino; Emiliano Schena
Journal:  Sensors (Basel)       Date:  2013-10-18       Impact factor: 3.576

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  5 in total

1.  MRI Robots for Needle-Based Interventions: Systems and Technology.

Authors:  Reza Monfaredi; Kevin Cleary; Karun Sharma
Journal:  Ann Biomed Eng       Date:  2018-06-19       Impact factor: 3.934

2.  State of the Art and Future Opportunities in MRI-Guided Robot-Assisted Surgery and Interventions.

Authors:  Hao Su; Ka-Wai Kwok; Kevin Cleary; Iulian Iordachita; M Cenk Cavusoglu; Jaydev P Desai; Gregory S Fischer
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2022-05-03       Impact factor: 14.910

3.  Preoperative Needle Insertion Path Planning for Minimizing Deflection in Multilayered Tissues.

Authors:  Ryosuke Tsumura; Jin Seob Kim; Hiroyasu Iwata; Iulian Iordachita
Journal:  IEEE Robot Autom Lett       Date:  2018-02-27

4.  In Vivo Optogenetic Modulation with Simultaneous Neural Detection Using Microelectrode Array Integrated with Optical Fiber.

Authors:  Penghui Fan; Yilin Song; Shengwei Xu; Yuchuan Dai; Yiding Wang; Botao Lu; Jingyu Xie; Hao Wang; Xinxia Cai
Journal:  Sensors (Basel)       Date:  2020-08-13       Impact factor: 3.576

5.  Development of Force Sensor System Based on Tri-Axial Fiber Bragg Grating with Flexure Structure.

Authors:  Dongjoo Shin; Hyeong-U Kim; Atul Kulkarni; Young-Hak Kim; Taesung Kim
Journal:  Sensors (Basel)       Date:  2021-12-21       Impact factor: 3.576

  5 in total

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