NDLI: Modeling of conditions where a puncture occurs during needle insertion considering probability distribution

Content Provider	IEEE Xplore Digital Library
Author	Kobayashi, Y. Onishi, A. Hoshi, T. Kawamura, K. Fujie, M.G.
Copyright Year	2008
Description	Author affiliation: Consolidated Res. Inst. for Adv. Sci. & Med. Care, Waseda Univ., Tokyo (Kobayashi, Y.)
Abstract	Needle insertion treatments require accurate placement of the needle tip into the target cancer. However, it is difficult to insert the needle into the cancer because of cancer displacement due to the organ deformation. Then, a path planning using numerical simulation to analyze the deformation of the organ and the timing of puncture is important for the accurate needle insertion. In this study, we have explained the modeling of conditions where the puncture occurs. Firstly, this paper shows needle insertion experiments for the hog liver in order to measure the needle force and displacement where the puncture occurs. According to the experimental results, significant variations in puncture force were observed. Accordingly, we proposed a novel condition of the force causing a puncture considering probability distribution. We summarized variations of the puncture force in the experimental data and represented conditions where a puncture occurs with probability distribution models where the force is random variable. In addition, the boundary conditions and liver shapes are considered by analyzing the stress status near the needle. Then, we derived the conditions of the puncture with probability distribution models where the stress is random variable.
Starting Page	1433
Ending Page	1440
File Size	1683033
Page Count	8
File Format	PDF
ISBN	9781424420575
DOI	10.1109/IROS.2008.4650874
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Needles Force Liver Stress Probability distribution Shape Boundary conditions
Content Type	Text
Resource Type	Article

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