University of Southern California Dissertations and Theses

Model based PET image reconstruction and kinetic parameter estimation

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Model based PET image reconstruction and kinetic parameter estimation

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Abstract 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 mimic the behavior of certain biologically active molecules. While having wide clinical and preclinical applications, in particular in oncology and neuroimaging, PET imaging 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 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.

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Asset Metadata

Creator Lin, Yanguang (author)

Core Title Model based PET image reconstruction and kinetic parameter estimation

School Viterbi School of Engineering

Degree Doctor of Philosophy

Degree Program Electrical Engineering

Publication Date 08/06/2014

Defense Date 05/06/2014

Publisher University of Southern California (original), University of Southern California. Libraries (digital)

Tag image processing,image reconstruction,medical imaging,OAI-PMH Harvest,PET,signal processing,tomography

Format application/pdf (imt)

Language English

Contributor Electronically uploaded by the author (provenance)

Advisor Leahy, Richard M. (committee chair), Haldar, Justin P. (committee member), Shung, Kirk (committee member)

Creator Email linyg04@gmail.com

Permanent Link (DOI) https://doi.org/10.25549/usctheses-c3-454482

Unique identifier UC11286985

Identifier etd-LinYanguan-2781.pdf (filename),usctheses-c3-454482 (legacy record id)

Legacy Identifier etd-LinYanguan-2781.pdf

Dmrecord 454482

Document Type Dissertation

Format application/pdf (imt)

Rights Lin, Yanguang

Type texts

Source University of Southern California (contributing entity), University of Southern California Dissertations and Theses (collection)

Access Conditions The author retains rights to his/her dissertation, thesis or other graduate work according to U.S. copyright law. Electronic access is being provided by the USC Libraries in agreement with the a...

Repository Name University of Southern California Digital Library

Repository Location USC Digital Library, University of Southern California, University Park Campus MC 2810, 3434 South Grand Avenue, 2nd Floor, Los Angeles, California 90089-2810, USA