Paper
13 March 2006 Integrated modeling of PET and DTI information based on conformal brain mapping
Guangyu Zou, Yongjian Xi, Greg Heckenburg, Ye Duan, Jing Hua, Xiangfeng Gu
Author Affiliations +
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guangyu Zou, Yongjian Xi, Greg Heckenburg, Ye Duan, Jing Hua, and Xiangfeng Gu "Integrated modeling of PET and DTI information based on conformal brain mapping", Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 614321 (13 March 2006); https://doi.org/10.1117/12.653762
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Cited by 3 scholarly publications.
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KEYWORDS
Brain

Positron emission tomography

Brain mapping

Data modeling

Diffusion tensor imaging

Magnetic resonance imaging

Optical spheres

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