Literature DB >> 25376035

Robotic system for MRI-guided stereotactic neurosurgery.

Gang Li, Hao Su, Gregory A Cole, Weijian Shang, Kevin Harrington, Alex Camilo, Julie G Pilitsis, Gregory S Fischer.   

Abstract

Stereotaxy is a neurosurgical technique that can take several hours to reach a specific target, typically utilizing a mechanical frame and guided by preoperative imaging. An error in any one of the numerous steps or deviations of the target anatomy from the preoperative plan such as brain shift (up to mm), may affect the targeting accuracy and thus the treatment effectiveness. Moreover, because the procedure is typically performed through a small burr hole opening in the skull that prevents tissue visualization, the intervention is basically “blind” for the operator with limited means of intraoperative confirmation that may result in reduced accuracy and safety. The presented system is intended to address the clinical needs for enhanced efficiency, accuracy, and safety of image-guided stereotactic neurosurgery for deep brain stimulation lead placement. The study describes a magnetic resonance imaging (MRI)-guided, robotically actuated stereotactic neural intervention system for deep brain stimulation procedure, which offers the potential of reducing procedure duration while improving targeting accuracy and enhancing safety. This is achieved through simultaneous robotic manipulation of the instrument and interactively updated in situ MRI guidance that enables visualization of the anatomy and interventional instrument. During simultaneous actuation and imaging, the system has demonstrated less than 15% signal-to-noise ratio variation and less than 0.20 geometric distortion artifact without affecting the imaging usability to visualize and guide the procedure. Optical tracking and MRI phantom experiments streamline the clinical workflow of the prototype system, corroborating targeting accuracy with three-ax- s root mean square error 1.38 ± 0.45 mm in tip position and 2.03 ± 0.58° in insertion angle.

Entities:  

Mesh:

Year:  2015        PMID: 25376035      PMCID: PMC4428978          DOI: 10.1109/TBME.2014.2367233

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  19 in total

1.  Measurement and analysis of brain deformation during neurosurgery.

Authors:  T Hartkens; D L G Hill; A D Castellano-Smith; D J Hawkes; C R Maurer; A J Martin; W A Hall; H Liu; C L Truwit
Journal:  IEEE Trans Med Imaging       Date:  2003-01       Impact factor: 10.048

2.  Use of the NeuroMate stereotactic robot in a frameless mode for movement disorder surgery.

Authors:  T R K Varma; P R Eldridge; A Forster; S Fox; N Fletcher; M Steiger; P Littlechild; P Byrne; A Sinnott; K Tyler; S Flintham
Journal:  Stereotact Funct Neurosurg       Date:  2003       Impact factor: 1.875

3.  Mutual interferences and design principles for mechatronic devices in magnetic resonance imaging.

Authors:  Ningbo Yu; Roger Gassert; Robert Riener
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-09-02       Impact factor: 2.924

4.  MRI-Compatible Pneumatic Robot for Transperineal Prostate Needle Placement.

Authors:  Gregory S Fischer; Iulian Iordachita; Csaba Csoma; Junichi Tokuda; Simon P Dimaio; Clare M Tempany; Nobuhiko Hata; Gabor Fichtinger
Journal:  IEEE ASME Trans Mechatron       Date:  2008-06-01       Impact factor: 5.303

Review 5.  Magnetic resonance-compatible robotic and mechatronics systems for image-guided interventions and rehabilitation: a review study.

Authors:  Nikolaos V Tsekos; Azadeh Khanicheh; Eftychios Christoforou; Constantinos Mavroidis
Journal:  Annu Rev Biomed Eng       Date:  2007       Impact factor: 9.590

6.  The feasibility of MR-image guided prostate biopsy using piezoceramic motors inside or near to the magnet isocentre.

Authors:  Haytham Elhawary; Aleksander Zivanovic; Marc Rea; Brian Davies; Collin Besant; Donald McRobbie; Nandita de Souza; Ian Young; Michael Lampérth
Journal:  Med Image Comput Comput Assist Interv       Date:  2006

Review 7.  Opportunities and challenges in MR-compatible robotics: reviewing the history, mechatronic components, and future directions of this technology.

Authors:  Roger Gassert; Eienne Burdet; Kiyoyuki Chinzei
Journal:  IEEE Eng Med Biol Mag       Date:  2008 May-Jun

8.  3-D augmented reality for MRI-guided surgery using integral videography autostereoscopic image overlay.

Authors:  Hongen Liao; Takashi Inomata; Ichiro Sakuma; Takeyoshi Dohi
Journal:  IEEE Trans Biomed Eng       Date:  2010-02-17       Impact factor: 4.538

9.  Towards a Meso-Scale SMA-Actuated MRI-Compatible Neurosurgical Robot.

Authors:  Mingyen Ho; Alan McMillan; J Marc Simard; Rao Gullapalli; Jaydev P Desai
Journal:  IEEE Trans Robot       Date:  2011-10-10       Impact factor: 5.567

10.  Development and Evaluation of an Actuated MRI-Compatible Robotic System for MRI-Guided Prostate Intervention.

Authors:  Axel Krieger; Sang-Eun Song; Nathan B Cho; Iulian Iordachita; Peter Guion; Gabor Fichtinger; Louis L Whitcomb
Journal:  IEEE ASME Trans Mechatron       Date:  2011-10-17       Impact factor: 5.303

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  30 in total

1.  Image-Guided Biopsy in the Era of Personalized Cancer Care: Proceedings from the Society of Interventional Radiology Research Consensus Panel.

Authors:  Alda L Tam; Howard J Lim; Ignacio I Wistuba; Anobel Tamrazi; Michael D Kuo; Etay Ziv; Stephen Wong; Albert J Shih; Robert J Webster; Gregory S Fischer; Sunitha Nagrath; Suzanne E Davis; Sarah B White; Kamran Ahrar
Journal:  J Vasc Interv Radiol       Date:  2015-11-25       Impact factor: 3.464

2.  Preclinical evaluation of an integrated robotic system for magnetic resonance imaging guided shoulder arthrography.

Authors:  Niravkumar Patel; Jiawen Yan; Reza Monfaredi; Karun Sharma; Kevin Cleary; Iulian Iordachita
Journal:  J Med Imaging (Bellingham)       Date:  2019-05-15

3.  An Integrated Robotic System for MRI-Guided Neuroablation: Preclinical Evaluation.

Authors:  Niravkumar A Patel; Christopher J Nycz; Paulo A Carvalho; Katie Y Gandomi; Radian Gondokaryono; Gang Li; Tamas Heffter; Everette Clif Burdette; Julie G Pilitsis; Gregory S Fischer
Journal:  IEEE Trans Biomed Eng       Date:  2020-02-17       Impact factor: 4.538

Review 4.  Lung and Abdominal Biopsies in the Age of Precision Medicine.

Authors:  Leonard Dalag; Jonathan K Fergus; Steven M Zangan
Journal:  Semin Intervent Radiol       Date:  2019-08-19       Impact factor: 1.513

5.  Computer-assisted planning for a concentric tube robotic system in neurosurgery.

Authors:  Josephine Granna; Arya Nabavi; Jessica Burgner-Kahrs
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-11-27       Impact factor: 2.924

6.  An MRI-Guided Telesurgery System Using a Fabry-Perot Interferometry Force Sensor and a Pneumatic Haptic Device.

Authors:  Hao Su; Weijian Shang; Gang Li; Niravkumar Patel; Gregory S Fischer
Journal:  Ann Biomed Eng       Date:  2017-04-26       Impact factor: 3.934

7.  Robotic-assisted real-time MRI-guided TAVR: from system deployment to in vivo experiment in swine model.

Authors:  Joshua L Chan; Dumitru Mazilu; Justin G Miller; Timothy Hunt; Keith A Horvath; Ming Li
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-05-31       Impact factor: 2.924

8.  Development of a shoulder-mounted robot for MRI-guided needle placement: phantom study.

Authors:  Reza Monfaredi; Iulian Iordachita; Emmanuel Wilson; Raymond Sze; Karun Sharma; Axel Krieger; Stanley Fricke; Kevin Cleary
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-08-11       Impact factor: 2.924

9.  Robotic Assisted MRI-Guided Interventional Interstitial MR-Guided Focused Ultrasound Ablation in a Swine Model.

Authors:  Jacquelyn MacDonell; Niravkumar Patel; Gregory Fischer; E Clif Burdette; Jiang Qian; Vaibhav Chumbalkar; Goutam Ghoshal; Tamas Heffter; Emery Williams; Matthew Gounis; Robert King; Juliette Thibodeau; Gene Bogdanov; Olivia W Brooks; Erin Langan; Roy Hwang; Julie G Pilitsis
Journal:  Neurosurgery       Date:  2019-05-01       Impact factor: 4.654

10.  Robotically assisted long bone biopsy under MRI: cadaver study results.

Authors:  Sunghwan Lim; Karun Sharma; Pan Li; Doru Petrisor; Stanley Fricke; Dan Stoianovici; Kevin Cleary
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-11-19       Impact factor: 2.924

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