Does needle rotation improve lesion targeting?

Shadi Badaan, Doru Petrisor, Chunwoo Kim, Pierre Mozer, Dumitru Mazilu, Lucian Gruionu, Alex Patriciu, Kevin Cleary, Dan Stoianovici

Research output: Contribution to journalArticlepeer-review

46 Scopus citations

Abstract

Background: Image-guided robots are manipulators that operate based on medical images. Perhaps the most common class of image-guided robots are robots for needle interventions. Typically, these robots actively position and/or orient a needle guide, but needle insertion is still done by the physician. While this arrangement may have safety advantages and keep the physician in control of needle insertion, actuated needle drivers can incorporate other useful features. Methods: We first present a new needle driver that can actively insert and rotate a needle. With this device we investigate the use of needle rotation in controlled in-vitro experiments performed with a specially developed revolving needle driver. Results: These experiments show that needle rotation can improve targeting and may reduce errors by as much as 70%. Conclusion: The new needle driver provides a unique kinematic architecture that enables insertion with a compact mechanism. Perhaps the most interesting conclusion of the study is that lesions of soft tissue organs may not be perfectly targeted with a needle without using special techniques, either manually or with a robotic device. The results of this study show that needle rotation may be an effective method of reducing targeting errors.

Original languageEnglish (US)
Pages (from-to)138-147
Number of pages10
JournalInternational Journal of Medical Robotics and Computer Assisted Surgery
Volume7
Issue number2
DOIs
StatePublished - Jun 2011

Keywords

  • Image guide
  • Needle driver
  • Robot

ASJC Scopus subject areas

  • Surgery
  • Biophysics
  • Computer Science Applications

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