Literature DB >> 24953817

A robotic needle-positioning and guidance system for CT-guided puncture: Ex vivo results.

Joachim Kettenbach1, Levent Kara, Grzegorz Toporek, Martin Fuerst, Gernot Kronreif.   

Abstract

PURPOSE: To test the feasibility of a robotic needle-guidance platform during CT-guided puncture ex vivo.
MATERIAL AND METHODS: Thin copper wires inserted into a torso phantom served as targets. The phantom was placed on a carbon plate and the robot-positioning unit (RPU) of the guidance platform (iSYS Medizintechnik GmbH, Kitzbuehel, Austria) was attached. Following CT imaging and automatic registration a double oblique trajectory was planned and the RPU was remotely moved into appropriate position and angulation. A 17G-puncture needle was then manually inserted until the preplanned depth, permanently guided by the RPU. The CT scan was repeated and the distance between the actual needle tip and the target was evaluated.
RESULTS: Automatic registration was successful in ten experiments and the median duration of an experiment was 9.6 (6.4-46.0) minutes. The angulation of the needle path in x-y and z-axis was within 15.6° to 32.6°, and -32.8° to 3.2°, respectively and the needle insertion depth was 92.8 ± 14.4 mm. The Euclidean distance between the actual needle tip and the target was 2.3 ± 0.8 (range, 0.9-3.7) mm.
CONCLUSION: Automatic registration and accurate needle placement close to small targets was demonstrated. Study settings and torso phantom were very close to the clinical reality.

Entities:  

Keywords:  Computed tomography; helical; image guidance; interventional radiology; needle interventions; percutaneous biopsy; robotics; technology for surgical and interventional radiology

Mesh:

Year:  2014        PMID: 24953817     DOI: 10.3109/13645706.2014.928641

Source DB:  PubMed          Journal:  Minim Invasive Ther Allied Technol        ISSN: 1364-5706            Impact factor:   2.442


  7 in total

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2.  AngleNav: MEMS Tracker to Facilitate CT-Guided Puncture.

Authors:  Rui Li; Sheng Xu; William F Pritchard; John W Karanian; Venkatesh P Krishnasamy; Bradford J Wood; Zion Tsz Ho Tse
Journal:  Ann Biomed Eng       Date:  2018-01-05       Impact factor: 3.934

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Authors:  Hyung Jin Won; Namkug Kim; Guk Bae Kim; Joon Beom Seo; Hongho Kim
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4.  Performance of Robotic Assistance for Skull Base Biopsy: A Phantom Study.

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Journal:  J Neurol Surg B Skull Base       Date:  2017-05-03

5.  Robotic Tissue Sampling for Safe Post-Mortem Biopsy in Infectious Corpses.

Authors:  Maximilian Neidhardt; Stefan Gerlach; Robin Mieling; Max-Heinrich Laves; Thorben Weib; Martin Gromniak; Antonia Fitzek; Dustin Mobius; Inga Kniep; Alexandra Ron; Julia Schadler; Axel Heinemann; Klaus Puschel; Benjamin Ondruschka; Alexander Schlaefer
Journal:  IEEE Trans Med Robot Bionics       Date:  2022-01-26

6.  Puncture accuracy of an optical tracked robotic aiming device-a phantom study.

Authors:  Yannick Scharll; Sofia Letrari; Gregor Laimer; Peter Schullian; Reto Bale
Journal:  Eur Radiol       Date:  2022-06-09       Impact factor: 7.034

7.  CIGuide: in situ augmented reality laser guidance.

Authors:  Zoltán Bárdosi; Christian Plattner; Yusuf Özbek; Thomas Hofmann; Srdjan Milosavljevic; Volker Schartinger; Wolfgang Freysinger
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-09-11       Impact factor: 2.924

  7 in total

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