Model based PET image reconstruction and kinetic parameter estimation

Positron Emission Tomography (PET) is a powerful molecular imaging technique that can provide quantitative information about molecular processes in the living body. The system detects pairs of gamma rays emitted from radioactive tracers that are introduced into the living body to minic the behavior...

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Bibliographic Details
Main Author:	Lin, Yanguang
Format:	Dissertation
Language:	English
Published:	ProQuest Dissertations & Theses 01-01-2014
Subjects:	Electrical engineering Medical imaging
Online Access:	Get full text
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Summary:	Positron Emission Tomography (PET) is a powerful molecular imaging technique that can provide quantitative information about molecular processes in the living body. The system detects pairs of gamma rays emitted from radioactive tracers that are introduced into the living body to minic the behavior of certain biologically active molecules. While having wide clinical and preclinical applications, in particular in oncology and neuroimaging, PET imaging modality faces many challenges. These challenges include low signal to noise ratio (SNR), relatively low spatial and temporal resolution, efficient processing of very large data sets, and difficulty in mapping reconstructed PET images to physiologically meaningful parameters and statistics. The goals of my Ph.D. research are first to use various theoretical and practical approaches to study and improve the SNR and resolution of reconstructed PET images, and also to use statistical models to analyze the reconstructed PET images.
ISBN:	9781321330304 1321330308