DocumentCode
3092955
Title
Modeling of conditions where a puncture occurs during needle insertion considering probability distribution
Author
Kobayashi, Yo ; Onishi, Akinori ; Hoshi, Takeharu ; Kawamura, Kazuya ; Fujie, Masakatsu G.
Author_Institution
Consolidated Res. Inst. for Adv. Sci. & Med. Care, Waseda Univ., Tokyo
fYear
2008
fDate
22-26 Sept. 2008
Firstpage
1433
Lastpage
1440
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.
Keywords
cancer; deformation; liver; medical robotics; mobile robots; path planning; patient treatment; statistical distributions; boundary condition; hog liver; needle insertion treatment; needle tip placement; numerical simulation; organ deformation; path planning; puncture probability distribution; random variable; target cancer; Boundary conditions; Force; Liver; Needles; Probability distribution; Shape; Stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on
Conference_Location
Nice
Print_ISBN
978-1-4244-2057-5
Type
conf
DOI
10.1109/IROS.2008.4650874
Filename
4650874
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