Paper
11 March 2005 Morphological study of cortical surfaces with principal component analysis
Author Affiliations +
Proceedings Volume 5674, Computational Imaging III; (2005) https://doi.org/10.1117/12.588080
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
Abstract
Studies in experimental neuroscience have found some evidence showing that the shapes of cortical surfaces of human brains might have certain connection with the neural functioning. This paper presents a morphological study of the cortical surfaces. The work consists of four major elements. First, we collect a sufficient number of 3D MRI datasets of brains that belong to different categories of people. Second, we extract the cortical surfaces from the 3D MRI datasets. Third, we apply statistical analysis to characterize the morphological features of the cortical surfaces. The last component is 3D visualization to illustrate the shapes and characteristics of cortical surfaces in an interactive environment.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fijoy Vadakkumpadan, Yunxia Tong, and Yinlong Sun "Morphological study of cortical surfaces with principal component analysis", Proc. SPIE 5674, Computational Imaging III, (11 March 2005); https://doi.org/10.1117/12.588080
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Brain

Image segmentation

Shape analysis

Principal component analysis

Statistical analysis

Magnetic resonance imaging

Binary data

Back to Top