DocumentCode :
429467
Title :
Determining deformation resistance in cutting soft tissue with nonuniform thickness
Author :
Chanthasopeephan, Teeranoot ; Desai, Jaydev P. ; Lau, Alan C W
Author_Institution :
Dept. of Mech. Eng. & Mech., Drexel Univ., Philadelphia, PA, USA
Volume :
1
fYear :
2004
fDate :
1-5 Sept. 2004
Firstpage :
2754
Lastpage :
2757
Abstract :
Understanding soft tissue response during tool tissue interaction is important for developing a reality based haptic interaction model for surgical training and simulation. In this work, experiments were conducted to cut liver specimens with nonuniform thickness. Three cutting speeds ranging from 0.1 cm/sec-2.54 cm/sec were used. The cutting forces, cutting tool displacement, and tool/tissue imaging via stereo camera system were collected. The time varying depth-of-cut in the thickness-varying specimen was then determined using image analysis. The force-displacement data revealed that the cutting process consisted of a sequence of repeating units each comprising of a localized deformation phase followed by localized crack extension phase in the tissue. Based on depth-of-cut normalized cutting force, the deformation resistance of the tissue during the localized deformation phases was determined. The deformation resistance was characterized via the local effective modulus (LEM) of the soft tissue. The effect of cutting speed on the deformation resistance of the soft tissue was determined.
Keywords :
biological tissues; biomechanics; deformation; haptic interfaces; liver; medical image processing; medical robotics; stereo image processing; surgery; virtual reality; 0.1 to 2.54 cm/s; deformation resistance; depth-of-cut normalized force; force-displacement data; image analysis; liver specimens; local effective modulus; localized crack extension phase; localized deformation phase; reality based haptic interaction model; soft tissue cutting; soft tissue response; stereo camera system; surgical simulation; surgical training; tissue imaging; tool tissue interaction; Biological system modeling; Biological tissues; Blades; Computational modeling; Deformable models; Haptic interfaces; Immune system; Intelligent robots; Liver; Surgery; Depth-of-cut normalized force; Local effective modulus; and Deformation resistance in tissue cutting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
Type :
conf
DOI :
10.1109/IEMBS.2004.1403788
Filename :
1403788
Link To Document :
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