Title :
NURBS-based analysis of gender-related variability of the human brain surface
Author :
Rajapakse, Jagath C. ; Meegama, Ravinda G N ; Ho, L.S.
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
Abstract :
A statistical approach based on non-uniform rational b-splines (NURBS) to detect and visualize the variability associated between the brain surfaces of male and female adults is presented. A deformable NURBS surface is used initially to segment the brains from normalized magnetic resonance (MR) images. The NURBS surface of an adult brain is then deformed to converge onto a representative subject image. Significant deformation of surface points are captured by statistical analysis of the deformation vectors. To detect significant variability in sulci and gyri patterns, the Laplacian curvature of the significantly deformed points are computed. Results are demonstrated using MR head scans of 20 normal male and female adults.
Keywords :
Laplace equations; biomedical MRI; brain; gender issues; image segmentation; medical image processing; splines (mathematics); statistical analysis; vectors; Laplacian curvature; NURBS-based analysis; brain image segmentation; curvature analysis; deformable NURBS surface; deformation capture; deformation vectors; female adults; gender-related variability; gyri pattern; human brain surface; magnetic resonance images; male adults; nonuniform rational b-splines; representative subject image; statistical approach; sulci pattern; surface points; variability detection; variability visualization; Brain; Humans; Image converters; Image segmentation; Magnetic analysis; Magnetic resonance; Spline; Surface reconstruction; Surface topography; Visualization;
Conference_Titel :
Control, Automation, Robotics and Vision, 2002. ICARCV 2002. 7th International Conference on
Print_ISBN :
981-04-8364-3
DOI :
10.1109/ICARCV.2002.1234879