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
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;
Conference_Titel :
Complex Medical Engineering (CME), 2013 ICME International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2970-5
DOI :
10.1109/ICCME.2013.6548210