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COMPUTATIONAL METHODS FOR FLUORESCENCE MOLECULAR TOMOGRAPHY
by
Joyita Dutta
A Dissertation Presented to
FACULTY OF THE USC GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(ELECTRICAL ENGINEERING)
May 2011
Copyright 2011 Joyita Dutta
Object Description
| Title | Computational methods for fluorescence molecular tomography |
| Author | Dutta, Joyita |
| Author email | joyita.dutta@gmail.com; Dutta.Joyita@mgh.harvard.edu |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Electrical Engineering |
| School | Viterbi School of Engineering |
| Date defended/completed | 2011-03-11 |
| Date submitted | 2011 |
| Restricted until | Unrestricted |
| Date published | 2011-04-26 |
| Advisor (committee chair) | Leahy, Richard M. |
| Advisor (committee member) |
Jadvar, Hossein Jenkins, B. Keith |
| Abstract | Fluorescence molecular tomography is an imaging modality which exploits the specificity of fluorescent biomarkers to generate volumetric images using near-infrared light, which is safe and non-ionizing, at a substantially lower cost than competing modalities like positron emission tomography (PET) or single photon emission computed tomography (SPECT). While these very attractive features make it well-suited for preclinical research, the 3D reconstruction of fluorescent sources is confounded by the high degree of absorption and scattering of photons propagating through tissue, which make the inverse problem ill-posed. The focus of my Ph.D. research has been the development of computational techniques to tackle this challenge in order to reconstruct high resolution 3D images of molecular targets in vivo in small animals. To accurately and efficiently predict the photon fluence on the animal surface, we have developed a fast approach based on the Born approximation for computing the photon propagation model with reasonable accuracy. We have also developed a systematic approach for designing efficient spatial patterns of illumination for fluorescence tomography. The key idea behind our approach is to formulate a constrained optimization problem to improve the conditioning of the Fisher information matrix for the fluorescence forward model. The ill-conditioned nature of the inverse problem warrants the incorporation of some prior information to improve the conditioning of the problem and make it solvable. We have developed a regularization approach that incorporates this information as a combination of sparsity- and smoothness-enforcing penalty functions.; In collaboration with Dr. Simon Cherry's lab at UC Davis, and Cambridge Research and Instrumentation Inc., we have designed and built two fluorescence imaging systems capable of generating a variety of illumination patterns and with optics and filters designed for 360° surface viewing and multispectral data collection. We conducted studies using tissue phantoms with embedded fluorescent sources. We also performed an in vivo study on an anesthetized mouse with a xenograft melanoma and validated it by overlaying it against the CT image of the same animal. |
| Keyword | cancer; fluorescence; imaging; near infrared; optical; tomography; preclinical |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m3773 |
| Contributing entity | University of Southern California |
| Rights | Dutta, Joyita |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | cisadmin@dots.usc.edu |
| Filename | etd-Dutta-4387 |
| Archival file | uscthesesreloadpub_Volume44/etd-Dutta-4387.pdf |
Description
| Title | Page 1 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@dots.usc.edu |
| Full text | COMPUTATIONAL METHODS FOR FLUORESCENCE MOLECULAR TOMOGRAPHY by Joyita Dutta A Dissertation Presented to FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (ELECTRICAL ENGINEERING) May 2011 Copyright 2011 Joyita Dutta |
