Literature DB >> 10761771

Schemes for the identification of tissue types and boundaries at the tool point for surgical needles.

P N Brett1, A J Harrison, T A Thomas.   

Abstract

Precise control of automated invasive surgical tools requires real-time identification of tissue types and their deformation. At the focus of this paper is the epidural puncture, for which it is shown that the tissue type and deformation can respectively be determined from laser-based spectroscopy and the change in force required to push the needle through the various tissues. Studies have shown that physiological variations from one patient to another are too great to allow absolute values to be reliably used to indicate the position of the needle tip. However, the pattern of force variation during penetration is shown to be similar between specimens. Interpretation of this information in conjunction with spectroscopic techniques can be used to discriminate between tissues and tissue structure at the needle tip. This paper describes results from an investigation on automatic techniques for interpreting the type and deformation of tissues under tool action.

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Year:  2000        PMID: 10761771     DOI: 10.1109/4233.826856

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  3 in total

1.  Modeling of Tool-Tissue Interactions for Computer-Based Surgical Simulation: A Literature Review.

Authors:  Sarthak Misra; K T Ramesh; Allison M Okamura
Journal:  Presence (Camb)       Date:  2008-10-01

2.  A novel actuator for simulation of epidural anesthesia and other needle insertion procedures.

Authors:  John C Magill; Marten F Byl; Michael F Hinds; William Agassounon; Stephen D Pratt; Philip E Hess
Journal:  Simul Healthc       Date:  2010-06       Impact factor: 1.929

3.  Fiber-Optic Fabry-Pérot Interferometers for Axial Force Sensing on the Tip of a Needle.

Authors:  Steven Beekmans; Thomas Lembrechts; John van den Dobbelsteen; Dennis van Gerwen
Journal:  Sensors (Basel)       Date:  2016-12-26       Impact factor: 3.576

  3 in total

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