Parcourir par sujet "Tensors"
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Anisotropic sand model and fabric evolution until the critical state
(2014)This paper presents a simple anisotropic sand model within a recently proposed anisotropic critical state theory (ACST). The model adopts the SANISAND constitutive model platform and uses a fundamental ingredient of ACST, ... -
Diagnostic performance of quantitative diffusion tensor imaging for the differentiation of breast lesions at 3 T MRI
(2019)Background: Conventional breast magnetic resonance imaging (MRI), including dynamic contrast-enhanced MR mammography, may lead to ambiguous diagnosis and unnecessary biopsies. Purpose: To investigate the contribution of ... -
Exploiting morphology and texture of 3D tumor models in DTI for differentiating glioblastoma multiforme from solitary metastasis
(2018)Ambiguous imaging appearance of Glioblastoma Multiforme (GBM) and solitary Metastasis (MET) is a challenge to conventional Magnetic Resonance Imaging (MRI) based diagnosis, leading to exploitation of advanced MRI techniques, ... -
Local curvature analysis for differentiating Glioblastoma multiforme from solitary metastasis
(2016)Ambiguous imaging appearance of Glioblastoma multiforme (GBM) and solitary metastasis (MET) is a challenge to conventional Magnetic Resonance Imaging (MRI) based diagnosis. In this study, a local curvature analysis scheme ... -
Sand model within anisotropic critical state theory with evolving fabric
(2015)This paper presents a simple anisotropic sand model within a recently proposed Anisotropic Critical State Theory (ACST), which was motivated by grain level kinematics studied by means of DEM. The model adopts the SANISAND ... -
Theory of phase transmission fibre-optic deformation sensing
(2022)We present a theory and conceptual examples for fibre-optic deformation sensing based on phase changes of transmitted light. As a first result, we establish an exact relation between observable phase changes and the ... -
A tractography algorithm for MR diffusion tensor imaging based on minimum-cost path
(2016)Diffusion Tensor Imaging (DTI) is a powerful technique for studying tissue connectivity that starts to find routine clinical use in Magnetic Resonance Imaging (MRI), primarily in the brain. The extraction of tracts is an ...