Literature DB >> 35756185

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

Hao Su1, Ka-Wai Kwok2, Kevin Cleary3, Iulian Iordachita4, M Cenk Cavusoglu5, Jaydev P Desai6, Gregory S Fischer7.   

Abstract

Magnetic resonance imaging (MRI) can provide high-quality 3-D visualization of target anatomy, surrounding tissue, and instrumentation, but there are significant challenges in harnessing it for effectively guiding interventional procedures. Challenges include the strong static magnetic field, rapidly switching magnetic field gradients, high-power radio frequency pulses, sensitivity to electrical noise, and constrained space to operate within the bore of the scanner. MRI has a number of advantages over other medical imaging modalities, including no ionizing radiation, excellent soft-tissue contrast that allows for visualization of tumors and other features that are not readily visible by other modalities, true 3-D imaging capabilities, including the ability to image arbitrary scan plane geometry or perform volumetric imaging, and capability for multimodality sensing, including diffusion, dynamic contrast, blood flow, blood oxygenation, temperature, and tracking of biomarkers. The use of robotic assistants within the MRI bore, alongside the patient during imaging, enables intraoperative MR imaging (iMRI) to guide a surgical intervention in a closed-loop fashion that can include tracking of tissue deformation and target motion, localization of instrumentation, and monitoring of therapy delivery. With the ever-expanding clinical use of MRI, MRI-compatible robotic systems have been heralded as a new approach to assist interventional procedures to allow physicians to treat patients more accurately and effectively. Deploying robotic systems inside the bore synergizes the visual capability of MRI and the manipulation capability of robotic assistance, resulting in a closed-loop surgery architecture. This article details the challenges and history of robotic systems intended to operate in an MRI environment and outlines promising clinical applications and associated state-of-the-art MRI-compatible robotic systems and technology for making this possible.

Entities:  

Keywords:  Fiber optic sensors; image-guided surgery; magnetic resonance imaging (MRI)-compatible robots; piezoelectric actuators; sensors and actuators; surgical robots

Year:  2022        PMID: 35756185      PMCID: PMC9231642          DOI: 10.1109/jproc.2022.3169146

Source DB:  PubMed          Journal:  Proc IEEE Inst Electr Electron Eng        ISSN: 0018-9219            Impact factor:   14.910


  137 in total

1.  MR-guided intravascular procedures: real-time parameter control and automated slice positioning with active tracking coils.

Authors:  Michael Bock; Steffen Volz; Sven Zühlsdorff; Reiner Umathum; Christian Fink; Peter Hallscheidt; Wolfhard Semmler
Journal:  J Magn Reson Imaging       Date:  2004-05       Impact factor: 4.813

2.  Approaches to creating and controlling motion in MRI.

Authors:  Gregory S Fischer; Gregory Cole; Hao Su
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

3.  Development of an MRI-compatible needle insertion manipulator for stereotactic neurosurgery.

Authors:  K Masamune; E Kobayashi; Y Masutani; M Suzuki; T Dohi; H Iseki; K Takakura
Journal:  J Image Guid Surg       Date:  1995

4.  Gadgetron: an open source framework for medical image reconstruction.

Authors:  Michael Schacht Hansen; Thomas Sangild Sørensen
Journal:  Magn Reson Med       Date:  2012-07-12       Impact factor: 4.668

5.  A Concentric Tube Continuum Robot with Piezoelectric Actuation for MRI-Guided Closed-Loop Targeting.

Authors:  Hao Su; Gang Li; D Caleb Rucker; Robert J Webster Iii; Gregory S Fischer
Journal:  Ann Biomed Eng       Date:  2016-03-16       Impact factor: 3.934

6.  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

7.  A New Type of Motor: Pneumatic Step Motor.

Authors:  Dan Stoianovici; Alexandru Patriciu; Doru Petrisor; Dumitru Mazilu; Louis Kavoussi
Journal:  IEEE ASME Trans Mechatron       Date:  2007-02-01       Impact factor: 5.303

8.  Autonomous real-time interventional scan plane control with a 3-D shape-sensing needle.

Authors:  Santhi Elayaperumal; Juan Camilo Plata; Andrew B Holbrook; Yong-Lae Park; Kim Butts Pauly; Bruce L Daniel; Mark R Cutkosky
Journal:  IEEE Trans Med Imaging       Date:  2014-06-23       Impact factor: 10.048

9.  A Fully Actuated Robotic Assistant for MRI-Guided Precision Conformal Ablation of Brain Tumors.

Authors:  Gang Li; Niravkumar A Patel; Everette C Burdette; Julie G Pilitsis; Hao Su; Gregory S Fischer
Journal:  IEEE ASME Trans Mechatron       Date:  2020-07-29       Impact factor: 5.303

10.  Modeling of Interstitial Ultrasound Ablation for Continuous Applicator Rotation With MR Validation.

Authors:  Katie Y Gandomi; Paulo A W G Carvalho; Matthew Tarasek; Eric W Fiveland; Chitresh Bhushan; Emery Williams; Paul Neubauer; Zhanyue Zhao; Julie Pilitsis; Desmond Yeo; Christopher J Nycz; Everette Burdette; Gregory S Fischer
Journal:  IEEE Trans Biomed Eng       Date:  2021-05-21       Impact factor: 4.756

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  1 in total

1.  Sensor-Based Automated Detection of Electrosurgical Cautery States.

Authors:  Josh Ehrlich; Amoon Jamzad; Mark Asselin; Jessica Robin Rodgers; Martin Kaufmann; Tamas Haidegger; John Rudan; Parvin Mousavi; Gabor Fichtinger; Tamas Ungi
Journal:  Sensors (Basel)       Date:  2022-08-03       Impact factor: 3.847

  1 in total

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