Riemannian Space

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Dae Ho Jin - One of the best experts on this subject based on the ideXlab platform.

Huili Liu - One of the best experts on this subject based on the ideXlab platform.

  • curves in three dimensional Riemannian Space forms
    Journal of Geometry, 2021
    Co-Authors: Huili Liu, Yixuan Liu
    Abstract:

    In the three dimensional Riemannian Space forms, we introduce a natural moving frame to define associate curve of a curve. Using the notion of associate curve we give a new necessary and sufficient condition of which a Frenet curve is a Mannheim curve or Mannheim partner curve in the three dimensional Euclidean Space. Then we generalize these conclusions to the curves which lie on the three dimensional Riemannian sphere and the curves which lie in the three dimensional hyperbolic Space. We also give the geometric characterizations of these curves. Our methods can be easily used to reveal the properties of the curves on Space forms.

  • curves in three dimensional Riemannian Space forms
    Results in Mathematics, 2014
    Co-Authors: Huili Liu
    Abstract:

    In three dimensional Riemannian Space forms, introducing a natural moving frame, we define the associate curve of a curve and study the properties and relations of a curve and its associate curve. We state necessary and sufficient condition that a Frenet curve is a Bertrand curve in three dimensional Riemannian Space forms, especially in a Riemannian 3-dimensional sphere and in a 3-dimensional hyperbolic Space, resp. At the same time we give an explicit expression of the partner curve of a Bertrand curve.

Bang-yen Chen - One of the best experts on this subject based on the ideXlab platform.

Julien Roth - One of the best experts on this subject based on the ideXlab platform.

  • spinorial representation of submanifolds in Riemannian Space forms
    Pacific Journal of Mathematics, 2017
    Co-Authors: Pierre Bayard, Marie-amélie Lawn, Julien Roth
    Abstract:

    In this paper we give a spinorial representation of submanifolds of any dimension and codimension into Riemannian Space forms in terms of the existence of so called generalized Killing spinors. We then discuss several applications, among them a new and concise proof of the fundamental theorem of submanifold theory. We also recover results of T. Friedrich, B. Morel and the authors in dimension 2 and 3.

  • Spinorial characterizations of surfaces into 3-dimensional psuedo-Riemannian Space forms
    Mathematical Physics Analysis and Geometry, 2011
    Co-Authors: Marie-amélie Lawn, Julien Roth
    Abstract:

    We give a spinorial characterization of isometrically immersed surfaces of arbitrary signature into 3-dimensional pseudo-Riemannian Space forms. For Lorentzian surfaces, this generalizes a recent work of the first author in $\mathbb{R}^{2,1}$ to other Lorentzian Space forms. We also characterize immersions of Riemannian surfaces in these Spaces. From this we can deduce analogous results for timelike immersions of Lorentzian surfaces in Space forms of corresponding signature, as well as for Spacelike and timelike immersions of surfaces of signature (0,2), hence achieving a complete spinorial description for this class of pseudo-Riemannian immersions.

  • Spinorial Characterizations of Surfaces into 3-dimensional Pseudo-Riemannian Space Forms
    Mathematical Physics Analysis and Geometry, 2011
    Co-Authors: Marie-amélie Lawn, Julien Roth
    Abstract:

    We give a spinorial characterization of isometrically immersed surfaces of arbitrary signature into 3-dimensional pseudo-Riemannian Space forms. This generalizes a recent work of the first author for Spacelike immersed Lorentzian surfaces in ℝ^2,1 to other Lorentzian Space forms. We also characterize immersions of Riemannian surfaces in these Spaces. From this we can deduce analogous results for timelike immersions of Lorentzian surfaces in Space forms of corresponding signature, as well as for Spacelike and timelike immersions of surfaces of signature (0, 2), hence achieving a complete spinorial description for this class of pseudo-Riemannian immersions.

Martin Jagersand - One of the best experts on this subject based on the ideXlab platform.

  • tumor invasion margin on the Riemannian Space of brain fibers
    Medical Image Analysis, 2012
    Co-Authors: Parisa Mosayebi, Dana Cobzas, Albert Murtha, Martin Jagersand
    Abstract:

    Abstract Glioma is one of the most challenging types of brain tumors to treat or control locally. One of the main problems is to determine which areas of the apparently normal brain contain glioma cells, as gliomas are known to infiltrate several centimeters beyond the clinically apparent lesion that is visualized on standard Computed Tomography scans (CT) or Magnetic Resonance Images (MRIs). To ensure that radiation treatment encompasses the whole tumor, including the cancerous cells not revealed by MRI, doctors treat the volume of brain that extends 2 cm out from the margin of the visible tumor. This approach does not consider varying tumor-growth dynamics in different brain tissues, thus it may result in killing some healthy cells while leaving cancerous cells alive in the other areas. These cells may cause recurrence of the tumor later in time, which limits the effectiveness of the therapy. Knowing that glioma cells preferentially spread along nerve fibers, we propose the use of a geodesic distance on the Riemannian manifold of brain diffusion tensors to replace the Euclidean distance used in the clinical practice and to correctly identify the tumor invasion margin. This mathematical model results in a first-order Partial Differential Equation (PDE) that can be numerically solved in a stable and consistent way. To compute the geodesic distance, we use actual Diffusion Weighted Imaging (DWI) data from 11 patients with glioma and compare our predicted infiltration distance map with actual grwoth in follow-up MRI scans. Results show improvement in predicting the invasion margin when using the geodesic distance as opposed to the 2 cm conventional Euclidean distance.

  • tumor invasion margin on the Riemannian Space of brain fibers
    Medical Image Computing and Computer-Assisted Intervention, 2009
    Co-Authors: Dana Cobzas, Parisa Mosayebi, Albert Murtha, Martin Jagersand
    Abstract:

    Gliomas are one of the most challenging tumors to treat or control locally. One of the main challenges is determining which areas of the apparently normal brain contain glioma cells, as gliomas are known to infiltrate for several centimeters beyond the clinically apparent lesion visualized on standard CT or MRI. To ensure that radiation treatment encompasses the whole tumour, including the cancerous cells not revealed by MRI, doctors treat a volume of brain extending 2cm out from the margin of the visible tumour. This expanded volume often includes healthy, non-cancerous brain tissue. Knowing that glioma cells preferentially spread along nerve fibers, we propose the use of a geodesic distance on the Riemannian manifold of brain fibers to replace the Euclidean distance used in clinical practice and to correctly identify the tumor invasion margin. To compute the geodesic distance we use actual DTI data from patients with glioma and compare our predicted growth with follow-up MRI scans. Results show improvement in predicting the invasion margin when using the geodesic distance as opposed to the 2cm conventional Euclidean distance.