Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/2431
Title: Active NURBS modeling of human brain surface
Authors: Ravinda Gayan Narendra Meegama
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics
DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Issue Date: 2004
Abstract: The aim of this research is to obtain a computational model of the human brain sur-face from Magnetic Resonance (MR) images for visualization, peeling and quantitative studies. Many clinical applications, exploiting brain imaging techniques, often require to view the brain surface patterns prior to reaching important conclusions. A typical MR image contains all the anatomical structures in the human head and therefore, a method is required to separate the brain matter from other external structures and display its surface patterns accurately. The present research attempts to achieve this task by peeling the brain from raw MR head scans and extracting the variations in brain surface patterns between healthy individuals.
URI: http://hdl.handle.net/10356/2431
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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