DT-MRI

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)

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References in zbMATH (referenced in 7 articles , 1 standard article )

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  1. Acar, Burak; Yörük, Erdem: DT-MRI connectivity and/or tractography?: Two new algorithms (2009)
  2. Burgeth, Bernhard; Didas, Stephan; Weickert, Joachim: A general structure tensor concept and coherence-enhancing diffusion filtering for matrix fields (2009)
  3. De Luis-García, Rodrigo; Alberola-López, Carlos; Westin, Carl-Fredrik: Segmentation of tensor fields: Recent advances and perspectives (2009)
  4. Jankun-Kelly, T. J.; Zhang, Song; Callan-Jones, A. C.; Pelcovits, Robert A.; Slavin, V. A.; Laidlaw, David H.: Tensor visualization and defect detection for nematic liquid crystals using shape characteristics (2009)
  5. Lie, Johan; Burgeth, Bernhard; Christiansen, Oddvar: An operator algebraic inverse scale space method for symmetric matrix valued images (2009)
  6. Pierce, David M.; Trobin, Werner; Holzapfel, Gerhard A.: A computational framework for patient-specific analysis of articular cartilage incorporating structural information from DT-MRI (2009)
  7. Pizarro, Luis; Burgeth, Bernhard; Breuß, Michael; Weickert, Joachim: A directional Rouy-Tourin scheme for adaptive matrix-valued morphology (2009)