PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 1, 200956 citationsOpen Access

Characterization of pre-curved needles for steering in tissue

View Full Paper
TWThomas R. WedlickAOAllison M. Okamura

Key Points

  • This study aims to characterize the steering behavior and dexterity of pre-curved needles compared to traditional bevel-tipped needles.
  • Developed construction methods for pre-curved needles.
  • Utilized a needle shaft triangulation algorithm for shape computation from images.
  • Conducted experiments comparing steering behaviors of pre-curved and bevel-tipped needles.
  • Pre-curved needles exhibited greater dexterity than bevel-tipped needles.
  • For long pre-curve arcs, the radius of curvature approached that of the pre-curve.
  • Insertion velocity influenced the needle's path and allowed for plastic deformation during steering.

Abstract

Needles with tip asymmetry deflect upon insertion into soft tissue, an effect that can be used to steer needles within the body. This paper presents a phenomenological characterization of the steering behavior of pre-curved needles, which have tip asymmetry due to curvature of the needle near the tip. We describe needle construction methods and a needle shaft triangulation algorithm to compute the shape of the needle based on images. Experimental results show that pre-curved needles possess greater dexterity than bevel-tipped needles and achieve radii of curvature similar to pre-bent needles. For long pre-curve arc lengths, the radius of curvature of the needle was found to approach the radius of curvature of the pre-curve. Pre-curved needles were found to display behaviors not seen with bevel-tipped needles, such as the insertion velocity influencing the path of the tip within the tissue and the ability to plastically deform the needle during steering.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Wedlick et al. (2009) studied this question.

synapsesocial.com/papers/6a0978ef87ad1657d2515c08https://doi.org/10.1109/iembs.2009.5333407
Ask AI
Helpful
Bookmark
Share
View Full Paper