Field-Based Parameterisation of Cardiac Muscle Structure from Diffusion Tensors
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  • 关键词:Model ; based parameterisation ; Myocardial fibre orientation ; Diffusion tensor magnetic resonance imaging
  • 刊名:Lecture Notes in Computer Science
  • 出版年:2015
  • 出版时间:2015
  • 年:2015
  • 卷:9126
  • 期:1
  • 页码:146-154
  • 全文大小:1,486 KB
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  • 作者单位:Bianca Freytag (16)
    Vicky Y. Wang (16)
    G. Richard Christie (16)
    Alexander J. Wilson (16) (17)
    Gregory B. Sands (16) (17)
    Ian J. LeGrice (16) (17)
    Alistair A. Young (16) (18)
    Martyn P. Nash (16) (19)

    16. Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
    17. Department of Physiology, University of Auckland, Auckland, New Zealand
    18. Department of Anatomy with Radiology, University of Auckland, Auckland, New Zealand
    19. Department of Engineering Science, University of Auckland, Auckland, New Zealand
  • 丛书名:Functional Imaging and Modeling of the Heart
  • ISBN:978-3-319-20309-6
  • 刊物类别:Computer Science
  • 刊物主题:Artificial Intelligence and Robotics
    Computer Communication Networks
    Software Engineering
    Data Encryption
    Database Management
    Computation by Abstract Devices
    Algorithm Analysis and Problem Complexity
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1611-3349
文摘
This paper presents a robust method to directly construct parametric representations of myocardial structure using a left ventricular (LV) finite element model customised to diffusion tensors derived from cardiac diffusion tensor magnetic resonance images (DTMRI). This method avoids the need to solve the eigenvector problem, and therefore avoids issues due to ambiguous eigenvector directions, and the non-uniqueness of eigenvectors in regions of isotropic diffusion. Finite element parameters describing the fibre orientations of a geometric model of the LV are directly fitted to diffusion tensors using non-linear least squares optimisation. The method was tested using ex vivo DTMRI data from a Wistar-Kyoto rat and compared against the conventional eigenvector analysis. Close agreement was found in most regions, except at some boundary locations, and in regions with low fractional anisotropy.

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