• DocumentCode
    612337
  • Title

    Tensor-based analysis for measuring ventricular volume increases in mouse brain MR microscopy

  • Author

    Lan Lin ; Guangyu Bin ; Xiaoting Xu ; Shuicai Wu

  • Author_Institution
    Coll. of Life Sci. & Bioeng., Beijing Univ. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    25-28 May 2013
  • Firstpage
    50
  • Lastpage
    53
  • Abstract
    This paper describes a method for detecting small ventricular volume differences between experimental group and non-drug using control group in mouse brain. Deformations are obtained by a three step intensity-based nonlinear registration routine that transforms one brain to another. High resolution T2-weighted mouse brain magnetic resonance microscopy (MRM) was analyzed using full deformation tensor. A significant mean Jacobian determinant increase was found in the experimental group (0.151±0.029, p<;0.001, two-tailed t-test) but not in the control group (0.021±0.027, p=0.07). Moreover, the increase in mean ventricular Jacobian determinant in the experimental group is significantly greater than in the control group (p<;0.001). This approach may be used to investigate the increasing in ventricular volume in transgenic mice and other putative animal models of Alzheimer´s disease.
  • Keywords
    Jacobian matrices; biodiffusion; biomedical MRI; brain; diseases; image registration; medical image processing; volume measurement; Alzheimer disease; Jacobian determinant; full deformation tensor; high resolution T2-weighted mouse brain magnetic resonance microscopy; putative animal models; small ventricular volume detection; tensor-based analysis; three-step intensity-based nonlinear registration routine; transgenic mice; two-tailed t-testing; ventricular volume measurement; Accuracy; Alzheimer´s disease; Brain; Image registration; Jacobian matrices; Mice; Jacobian determinant; ROls; image registration; mouse model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex Medical Engineering (CME), 2013 ICME International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-2970-5
  • Type

    conf

  • DOI
    10.1109/ICCME.2013.6548210
  • Filename
    6548210