@inproceedings{c6891253e10045b6b7b08ec2354029c1,
title = "A conformal and statistical mapping method for 3D pet image analysis",
abstract = "Multimodality brain imaging represents a valuable tool in the study of anatomical and functional characteristics of the brain. Recent advances in imaging technologies, such as Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) have significantly accelerated neuroscience research in the last decade and have facilitated an improved understanding of the complex relationship between structure and function. This paper presents a novel framework based on global conformal surface mapping and alignment of the brains. The mapping allows accurate and reproducible transformation of each subject's brain to a canonical spherical domain and is the basis for subsequent statistical analysis of cortical elements (defined on the spherical domain) across patients. The cortical elements can be defined at arbitrary resolution, which serve as the units of statistical analysis of PET images and might in future be the basis for quantitative assessment of fiber tract connectivity between anatomical territories of the brain.",
keywords = "Conformal mapping, Image analysis, Registration",
author = "Darshan Pai and Guangyu Zou and Jing Hua and Ming Dong and Xianfeng Gu and Otto Muzik",
year = "2007",
language = "English",
isbn = "9780889866447",
series = "Proceedings of the 9th IASTED International Conference on Computer Graphics and Imaging, CGIM 2007",
pages = "120--125",
booktitle = "Proceedings of the 9th IASTED International Conference on Computer Graphics and Imaging, CGIM 2007",
note = "9th IASTED International Conference on Computer Graphics and Imaging, CGIM 2007 ; Conference date: 13-02-2007 Through 15-02-2007",
}