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Proceedings Paper

Integrated modeling of PET and DTI information based on conformal brain mapping
Author(s): Guangyu Zou; Yongjian Xi; Greg Heckenburg; Ye Duan; Jing Hua; Xiangfeng Gu
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Paper Abstract

Recent advances in imaging technologies, such as Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET) and Diffusion Tensor Imaging (DTI) have accelerated brain research in many aspects. In order to better understand the synergy of the many processes involved in normal brain function, integrated modeling and analysis of MRI, PET, and DTI is highly desirable. Unfortunately, the current state-of-art computational tools fall short in offering a comprehensive computational framework that is accurate and mathematically rigorous. In this paper we present a framework which is based on conformal parameterization of a brain from high-resolution structural MRI data to a canonical spherical domain. This model allows natural integration of information from co-registered PET as well as DTI data and lays the foundation for a quantitative analysis of the relationship between diverse data sets. Consequently, the system can be designed to provide a software environment able to facilitate statistical detection of abnormal functional brain patterns in patients with a large number of neurological disorders.

Paper Details

Date Published: 13 March 2006
PDF: 9 pages
Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 614321 (13 March 2006); doi: 10.1117/12.653762
Show Author Affiliations
Guangyu Zou, Wayne State Univ. (United States)
Yongjian Xi, Univ. of Missouri at Columbia (United States)
Greg Heckenburg, Univ. of Missouri at Columbia (United States)
Ye Duan, Univ. of Missouri at Columbia (United States)
Jing Hua, Wayne State Univ. (United States)
Xiangfeng Gu, Stony Brook Univ. (United States)

Published in SPIE Proceedings Vol. 6143:
Medical Imaging 2006: Physiology, Function, and Structure from Medical Images
Armando Manduca; Amir A. Amini, Editor(s)

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