DocumentCode :
2037858
Title :
Modeling In vivo Soft Tissue Probing
Author :
Hu, Tie ; Desai, Jaydev P. ; Castellanos, A.E. ; Lau, Alan C W
Author_Institution :
Program for Robotics Intelligent Sensing, & Mechatronics Lab., Drexel Univ., Philadelphia, PA
fYear :
2006
fDate :
20-22 Feb. 2006
Firstpage :
537
Lastpage :
542
Abstract :
A biomechanical model of in vivo soft tissue derived from experimental measurements is critical for developing a reality-based model for minimally invasive surgical training and simulation. In our research, we have been focusing on developing a biomechanical model of the liver with the ultimate goal of using this model for local tool-tissue interaction tasks and providing feedback to the surgeon through a haptic (sense of touch) display. In this paper, we present our approach for characterizing the nonlinear property of soft tissue in vivo under large deformation. We developed an experimental method for in vivo soft tissue test, and an axisymmetric finite element model to obtain the local effective elastic modulus (LEEM) of the tissue. A microcontroller-based portable probe was developed to measure the force and displacement in vivo of the pig liver tissue undergoing large deformation. The probe indented the liver up to 40% of its nominal thickness at a speed of 1.5 mm/sec. Based on the experimental force and displacement data, we obtained the LEEM by an inverse finite element method
Keywords :
biomechanics; biomedical measurement; deformation; displacement measurement; elastic moduli; finite element analysis; force measurement; haptic interfaces; liver; microcontrollers; physiological models; training; biomechanical model; deformation; displacement measurement; feedback; finite element model; force measurement; haptic display; in vivo soft tissue probing; invasive surgical training; inverse finite element method; local effective elastic modulus; local tool-tissue interaction task model; microcontroller-based portable probe; nonlinear property; pig liver; reality-based model; Biological tissues; Feedback; Finite element methods; Force measurement; Haptic interfaces; In vivo; Liver; Minimally invasive surgery; Probes; Surges;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Robotics and Biomechatronics, 2006. BioRob 2006. The First IEEE/RAS-EMBS International Conference on
Conference_Location :
Pisa
Print_ISBN :
1-4244-0040-6
Type :
conf
DOI :
10.1109/BIOROB.2006.1639144
Filename :
1639144
Link To Document :
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