Literature DB >> 25169657

Experimental study of needle-tissue interaction forces: effect of needle geometries, insertion methods and tissue characteristics.

Shan Jiang1, Pan Li2, Yan Yu3, Jun Liu4, Zhiyong Yang2.   

Abstract

A thorough understanding of needle-tissue interaction mechanics is necessary to optimize needle design, achieve robotically needle steering, and establish surgical simulation system. It is obvious that the interaction is influenced by numerous variable parameters, which are divided into three categories: needle geometries, insertion methods, and tissue characteristics. A series of experiments are performed to explore the effect of influence factors (material samples n=5 for each factor) on the insertion force. Data were collected from different biological tissues and a special tissue-equivalent phantom with similar mechanical properties, using a 1-DOF mechanical testing system instrumented with a 6-DOF force/torque (F/T) sensor. The experimental results indicate that three basic phases (deformation, insertion, and extraction phase) are existent during needle penetration. Needle diameter (0.7-3.2mm), needle tip (blunt, diamond, conical, and beveled) and bevel angle (10-85°) are turned out to have a great influence on insertion force, so do the insertion velocity (0.5-10mm/s), drive mode (robot-assisted and hand-held), and the insertion process (interrupted and continuous). Different tissues such as skin, muscle, fat, liver capsule and vessel are proved to generate various force cures, which can contribute to the judgement of the needle position and provide efficient insertion strategy.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Insertion method; Interaction forces; Needle geometry; Needle insertion; Tissue characteristic

Mesh:

Year:  2014        PMID: 25169657     DOI: 10.1016/j.jbiomech.2014.08.007

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  13 in total

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7.  Method to Reduce Target Motion Through Needle-Tissue Interactions.

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Review 8.  Force Modeling, Identification, and Feedback Control of Robot-Assisted Needle Insertion: A Survey of the Literature.

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Authors:  Ikjong Park; Han Sang Park; Hong Kyun Kim; Wan Kyun Chung; Keehoon Kim
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10.  Experimental evaluation of a self-propelling bio-inspired needle in single- and multi-layered phantoms.

Authors:  M Scali; P Breedveld; D Dodou
Journal:  Sci Rep       Date:  2019-12-27       Impact factor: 4.379

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