dc.contributor.authorRavinda Gayan Narendra Meegamaen_US
dc.description.abstractThe 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.en_US
dc.format.extent219 p.
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics
dc.subjectDRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
dc.titleActive NURBS modeling of human brain surfaceen_US
dc.contributor.supervisorRajapakse, Jagath Chandanaen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeDOCTOR OF PHILOSOPHY (SCE)en_US

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