發(fā)布時間：2018-03-11 18:12

  本文選題：手術仿真　切入點：在體軟組織　出處：《生物醫(yī)學工程學雜志》2017年05期 　論文類型：期刊論文

【摘要】：在手術仿真、手術規(guī)劃、醫(yī)學診斷等眾多醫(yī)學應用中,人體軟組織力學特性建模都是一個關鍵問題。為了開發(fā)手術仿真中人體軟組織大變形生物力學模型,本文介紹了自適應準線性粘彈性(AQLV)模型,對人體前臂軟組織進行了印壓試驗,采用增量斜坡保持試驗得到模型參數(shù),通過增量斜坡保持試驗、大應變斜坡保持試驗和大應變正弦循環(huán)加載試驗來檢驗該模型的預測能力。本文研究結(jié)果表明,AQLV模型能夠較好地預測這三種加載工況下的試驗數(shù)據(jù)。因此,本研究的結(jié)論認為,該AQLV模型對在體軟組織在大應變時的非線性粘彈性的描述具有一定的實用性和可參照性,有望作為手術仿真或醫(yī)學診斷中軟組織模型的選擇之一。
[Abstract]:In many medical applications, such as surgical simulation, surgical planning and medical diagnosis, modeling of human soft tissue mechanical properties is a key issue. In order to develop a biomechanical model of large deformation of human soft tissue in surgical simulation, In this paper, an adaptive quasilinear viscoelastic AQLVmodel is introduced. The soft tissue of human forearm is printed and pressed. The parameters of the model are obtained by incremental slope holding test, and the incremental slope holding test is carried out. The large strain slope retention test and the large strain sinusoidal cyclic loading test are used to test the prediction ability of the model. The results show that the AQLV model can well predict the test data under these three loading conditions. The AQLV model is practical and referential for describing the nonlinear viscoelasticity of soft tissue in vivo at large strain. It is expected to be one of the choice of soft tissue model in surgical simulation or medical diagnosis.
【作者單位】： 南京航空航天大學金城學院;上海交通大學機械與動力工程學院;
【基金】：國家自然科學基金項目(51205250)
【分類號】：R318
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本文編號：1599319