Confocal arthroscopy-based patient-specific constitutive models of cartilaginous tissues - II: prediction of reaction force history of meniscal cartilage specimens.
The theoretical framework developed in a companion paper (Part I) is used to derive estimates of mechanical response of two meniscal cartilage specimens. The previously developed framework consisted of a constitutive model capable of incorporating confocal image-derived tissue microstructural data. In the present paper (Part II) fibre and matrix constitutive parameters are first estimated from mechanical testing of a batch of specimens similar to, but independent from those under consideration. Image analysis techniques which allow estimation of tissue microstructural parameters form confocal images are presented. The constitutive model and image-derived structural parameters are then used to predict the reaction force history of the two meniscal specimens subjected to partially confined compression. The predictions are made on the basis of the specimens' individual structural condition as assessed by confocal microscopy and involve no tuning of material parameters. Although the model does not reproduce all features of the experimental curves, as an unfitted estimate of mechanical response the prediction is quite accurate. In light of the obtained results it is judged that more general non-invasive estimation of tissue mechanical properties is possible using the developed framework.
Taylor
Zeike A
ZA
Intelligent Systems for Medicine Laboratory, School of Mechanical Engineering, The University of Western Australia, Perth, WA, Australia.
Kirk
Thomas B
TB
Miller
Karol
K
D000818:Animals; D016880:Anisotropy; D001182:Arthroscopy / Q000379:methods*; D002356:Cartilage / Q000033:anatomy & histology; D002358:Cartilage, Articular / Q000502:physiology*; D002417:Cattle; D003198:Computer Simulation; D004548:Elasticity; D020342:Finite Element Analysis; D008592:Menisci, Tibial / Q000033:anatomy & histology* / Q000502:physiology*; D018613:Microscopy, Confocal / Q000379:methods*; D008954:Models, Biological; D013314:Stress, Mechanical