Med Biol Eng Comput - Inverse finite-element modeling for tissue parameter identification using a rolling indentation probe.

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Resumo

This paper investigates the use of inverse finite-element modeling (IFEM)-based methods for tissue parameter identification using a rolling indentation probe for surgical palpation. An IFEM-based algorithm is proposed for tissue parameter identification through uniaxial indentation. IFEM-based algorithms are also created for locating and identifying the properties of an embedded tumor through rolling indentation of the soft tissue. Two types of parameter identification for the tissue tumor are investigated (1) identifying the stiffness (?) of a tumor at a known depth and (2) estimating the depth of the tumor (D) with known mechanical properties. The efficiency of proposed methods has been evaluated through silicone and porcine kidney experiments for both uniaxial indentation and rolling indentation. The results show that both of the proposed IFEM methods for uniaxial indentation and rolling indentation have good robustness and can rapidly converge to the correct results. The tissue properties estimated using the developed method are generic and in good agreement with results obtained from standard material tests. The estimation error of ? through uniaxial indentation is below 3 % for both silicone and kidney; the estimation error of ? for the tumor through rolling indentation is 7-9 %. The estimation error of D through rolling indentation is 1-2 mm.

Resumo Limpo

paper investig use invers finiteel model ifembas method tissu paramet identif use roll indent probe surgic palpat ifembas algorithm propos tissu paramet identif uniaxi indent ifembas algorithm also creat locat identifi properti embed tumor roll indent soft tissu two type paramet identif tissu tumor investig identifi stiff tumor known depth estim depth tumor d known mechan properti effici propos method evalu silicon porcin kidney experi uniaxi indent roll indent result show propos ifem method uniaxi indent roll indent good robust can rapid converg correct result tissu properti estim use develop method generic good agreement result obtain standard materi test estim error uniaxi indent silicon kidney estim error tumor roll indent estim error d roll indent mm

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