Literature DB >> 21666783

Tri-Axial MRI Compatible Fiber-optic Force Sensor.

U-Xuan Tan1, Bo Yang, Rao Gullapalli, Jaydev P Desai.   

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.

Entities:  

Year:  2011        PMID: 21666783      PMCID: PMC3111224          DOI: 10.1109/TRO.2010.2090061

Source DB:  PubMed          Journal:  IEEE Trans Robot        ISSN: 1552-3098            Impact factor:   5.567


  5 in total

1.  A biplanar fluoroscopic approach for the measurement, modeling, and simulation of needle and soft-tissue interaction.

Authors:  James T Hing; Ari D Brooks; Jaydev P Desai
Journal:  Med Image Anal       Date:  2006-11-17       Impact factor: 8.545

Review 2.  The case for MR-compatible robotics: a review of the state of the art.

Authors:  Haytham Elhawary; Zion Tsz Ho Tse; Abbi Hamed; Marc Rea; Brian L Davies; Michael U Lamperth
Journal:  Int J Med Robot       Date:  2008-06       Impact factor: 2.547

3.  Feedforward Controller of Ill-Conditioned Hysteresis Using Singularity-Free Prandtl-Ishlinskii Model.

Authors:  U-Xuan Tan; Win Tun Latt; Cheng Yap Shee; Cameron N Riviere; Wei Tech Ang
Journal:  IEEE ASME Trans Mechatron       Date:  2009-10-01       Impact factor: 5.303

4.  Tracking Control of Hysteretic Piezoelectric Actuator using Adaptive Rate-Dependent Controller.

Authors:  U-Xuan Tan; Win Tun Latt; Ferdinan Widjaja; Cheng Yap Shee; Cameron N Riviere; Wei Tech Ang
Journal:  Sens Actuators A Phys       Date:  2009-03-16       Impact factor: 3.407

5.  Towards a teleoperated needle driver robot with haptic feedback for RFA of breast tumors under continuous MRI.

Authors:  Rebecca Kokes; Kevin Lister; Rao Gullapalli; Bao Zhang; Alan MacMillan; Howard Richard; Jaydev P Desai
Journal:  Med Image Anal       Date:  2009-02-20       Impact factor: 8.545

  5 in total
  10 in total

1.  Development of an MR-compatible hand exoskeleton that is capable of providing interactive robotic rehabilitation during fMRI imaging.

Authors:  Sangjoon J Kim; Yeongjin Kim; Hyosang Lee; Pouya Ghasemlou; Jung Kim
Journal:  Med Biol Eng Comput       Date:  2017-07-15       Impact factor: 2.602

2.  Design, Development, and Evaluation of a Master-Slave Surgical System for Breast Biopsy under Continuous MRI.

Authors:  Bo Yang; Steven Roys; U-Xuan Tan; Mathew Philip; Howard Richard; Rao Gullapalli; Jaydev P Desai
Journal:  Int J Rob Res       Date:  2014-04       Impact factor: 4.703

3.  Development of a Meso-Scale Fiberoptic Rotation Sensor for a Torsion Actuator.

Authors:  Jun Sheng; Jaydev P Desai
Journal:  IEEE Robot Autom Lett       Date:  2017-11-15

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

Authors:  Hao Su; Iulian I Iordachita; Junichi Tokuda; Nobuhiko Hata; Xuan Liu; Reza Seifabadi; Sheng Xu; Bradford Wood; Gregory S Fischer
Journal:  IEEE Sens J       Date:  2017-01-17       Impact factor: 3.301

5.  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

6.  A Force-Visualized Silicone Retractor Attachable to Surgical Suction Pipes.

Authors:  Tetsuyou Watanabe; Toshio Koyama; Takeshi Yoneyama; Mitsutoshi Nakada
Journal:  Sensors (Basel)       Date:  2017-04-05       Impact factor: 3.576

Review 7.  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

8.  Force-Sensing Silicone Retractor for Attachment to Surgical Suction Pipes.

Authors:  Tetsuyou Watanabe; Toshio Koyama; Takeshi Yoneyama; Mitsutoshi Nakada
Journal:  Sensors (Basel)       Date:  2016-07-21       Impact factor: 3.576

9.  Magnetic Resonance Imaging Compatible Non-Invasive Fibre-Optic Sensors Based on the Bragg Gratings and Interferometers in the Application of Monitoring Heart and Respiration Rate of the Human Body: A Comparative Study.

Authors:  Jan Nedoma; Stanislav Kepak; Marcel Fajkus; Jakub Cubik; Petr Siska; Radek Martinek; Petr Krupa
Journal:  Sensors (Basel)       Date:  2018-10-31       Impact factor: 3.576

10.  Vital Sign Monitoring and Cardiac Triggering at 1.5 Tesla: A Practical Solution by an MR-Ballistocardiography Fiber-Optic Sensor.

Authors:  Jan Nedoma; Marcel Fajkus; Radek Martinek; Homer Nazeran
Journal:  Sensors (Basel)       Date:  2019-01-24       Impact factor: 3.576

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.