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A Computational Framework for Patient‐Specific Analysis of Articular Cartilage Incorporating Structural Information from DT‐MRI
Author(s) -
Pierce David M.,
Trobin Werner,
Holzapfel Gerhard A.
Publication year - 2009
Publication title -
gamm‐mitteilungen
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.239
H-Index - 18
eISSN - 1522-2608
pISSN - 0936-7195
DOI - 10.1002/gamm.200910014
Subject(s) - articular cartilage , magnetic resonance imaging , indentation , diffusion mri , computer science , deformation (meteorology) , cartilage , biomedical engineering , materials science , artificial intelligence , engineering , osteoarthritis , medicine , anatomy , pathology , radiology , composite material , alternative medicine
Accurate techniques for simulating sof t biological tissue deformation are an increasingly valuable tool in many areas of biomechanical analysis and medical image computing. To model the morphology and the material response of human articular cartilage a phenomenological and patient‐specific simulation approach incorporating the collagen fibre fabric is proposed. We then demonstrate a unique combination of ultra‐high field Diffusion Tensor Magnetic Resonance Imaging (17.6T DT‐MRI) and a novel numerical approach incorporating the empirical data to predict the collagen fibre fabric deformation for an indentation experiment (© 2009 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)