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Geometric and analytical modeling of long flexible needle insertion on deformable bio-tissues for biomedical applications

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A two-phase geometric and analytical modeling method is presented to model long needle insertion in deformable bio-tissues. Analytical modeling and computational algorithms are also introduced to evaluate different geometric needle design for biomedical applications. Needle insertion techniques have great potential to improve medical procedures, such as various cancer treatments, including brachytherapy, drug delivery, local cell treatment, biosampling, and the controlled release of medicine. During medical treatment procedures of long needle insertion, needle bending or buckling may occur, causing unpredictable needle placement and motion, as well as excessive damage to the surrounding tissues. Analytical and geometric modeling techniques are developed based on the interaction forces between the needle and the soft and hard tissues to better model the needle bending and buckling during insertion into bio-tissues. Multiple parameters such as various bevel tip angles and variant needle materials are studied. Additionally, a haptic-based human-computer interface with force and torque feedback is developed. The techniques presented in this paper can ultimately be used to better the design and manufacturing of biomedical applications.

Original languageEnglish (US)
Title of host publication43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013
PublisherComputers and Industrial Engineering
Pages1274-1288
Number of pages15
ISBN (Print)9781629934372
StatePublished - 2013
Event43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013 - Hong Kong, Hong Kong
Duration: Oct 16 2013Oct 18 2013

Publication series

NameProceedings of International Conference on Computers and Industrial Engineering, CIE
Volume2
ISSN (Electronic)2164-8689

Other

Other43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013
Country/TerritoryHong Kong
CityHong Kong
Period10/16/1310/18/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • General Computer Science
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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