Please use this identifier to cite or link to this item: http://www.repository.rmutt.ac.th/xmlui/handle/123456789/422
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dc.contributor.authorSangpradit, Kiattisak
dc.contributor.authorLiu, Hongbin
dc.contributor.authorDasgupta, Prokar
dc.contributor.authorAlthoefer, Kaspar
dc.contributor.authorSeneviratne, Lakmal D.
dc.date.accessioned2012-03-03T03:42:17Z
dc.date.accessioned2020-09-24T04:56:48Z-
dc.date.available2012-03-03T03:42:17Z
dc.date.available2020-09-24T04:56:48Z-
dc.date.issued2011-12
dc.identifier.issn0018-9294
dc.identifier.urihttp://www.repository.rmutt.ac.th/dspace/handle/123456789/422-
dc.descriptionFinite-Element Modeling of Soft Tissue Rolling Indentation / http://isiknowledge.comen_US
dc.description.abstractWe describe a finite-element (FE) model for simulating wheel-rolling tissue deformations using a rolling FE model (RFEM). A wheeled probe performing rolling tissue indentation has proven to be a promising approach for compensating for the loss of haptic and tactile feedback experienced during robotic-assisted minimally invasive surgery (H. Liu, D. P. Noonan, B. J. Challacombe, P. Dasgupta, L. D. Seneviratne, and K. Althoefer, "Rolling mechanical imaging for tissue abnormality localization during minimally invasive surgery," IEEE Trans. Biomed. Eng., vol. 57, no. 2, pp. 404-414, Feb. 2010; K. Sangpradit, H. Liu, L. Seneviratne, and K. Althoefer, " Tissue identification using inverse finite element analysis of rolling indentation," in Proc. IEEE Int. Conf. Robot. Autom., Kobe, Japan, 2009, pp. 1250-1255; H. Liu, D. Noonan, K. Althoefer, and L. Seneviratne, " The rolling approach for soft tissue modeling and mechanical imaging during robot-assisted minimally invasive surgery," in Proc. IEEE Int. Conf. Robot. Autom., May 2008, pp. 845-850; H. Liu, P. Puangmali, D. Zbyszewski, O. Elhage, P. Dasgupta, J. S. Dai, L. Seneviratne, and K. Althoefer, " An indentation depth-force sensing wheeled probe for abnormality identification during minimally invasive surgery," Proc. Inst. Mech. Eng., H, vol. 224, no. 6, pp. 751-63, 2010; D. Noonan, H. Liu, Y. Zweiri, K. Althoefer, and L. Seneviratne, " A dual-function wheeled probe for tissue viscoelastic property identification during minimally invasive surgery," in Proc. IEEE Int. Conf. Robot. Autom., 2008, pp. 2629-2634; H. Liu, J. Li, Q. I. Poon, L. D. Seneviratne, and K. Althoefer, " Miniaturized force indentation-depth sensor for tissue abnormality identification," IEEE Int. Conf. Robot. Autom., May 2010, pp. 3654-3659). A sound understanding of wheel-tissue rolling interaction dynamics will facilitate the evaluation of signals from rolling indentation. In this paper, we model the dynamic interactions between a wheeled probe and a soft tissue sample using the ABAQUS FE software package. The aim of this work is to more precisely locate abnormalities within soft tissue organs using RFEM and hence aid surgeons to improve diagnostic ability. The soft tissue is modeled as a nonlinear hyperelastic material with geometrical nonlinearity. The proposed RFEM was validated on a silicone phantom and a porcine kidney sample. The results show that the proposed method can predict the wheel-tissue interaction forces of rolling indentation with good accuracy and can also accurately identify the location and depth of simulated tumors.en_US
dc.language.isoenen_US
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USAen_US
dc.subjectFinite-element (FE) modelingen_US
dc.subjectforce and tactile sensingen_US
dc.subjecthaptic feedbacken_US
dc.subjectlocalizationen_US
dc.subjectminimally invasive surgery (MIS)en_US
dc.subjectrolling indentationen_US
dc.subjectsoft tissue abnormalityen_US
dc.subjectsoft tissue organ diagnosisen_US
dc.subjecttumor detectionen_US
dc.titleFinite-Element Modeling of Soft Tissue Rolling Indentationen_US
dc.typeArticleen_US
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