Image and Optical Property Reconstruction From Noninvasive Measurements of Turbid Media, in Vitro and in Vivo: A Promising Method for Optical Mammography
Walker, Scott Andrew
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/80668
Description
Title
Image and Optical Property Reconstruction From Noninvasive Measurements of Turbid Media, in Vitro and in Vivo: A Promising Method for Optical Mammography
Author(s)
Walker, Scott Andrew
Issue Date
1999
Doctoral Committee Chair(s)
Gratton, Enrico
Department of Study
Physics
Discipline
Physics
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Biomedical
Language
eng
Abstract
Before my work in this field, researchers were uncertain whether the diffusion model would be valid for a medium containing inhomogeneities. I, along with a handful of other researchers demonstrated that the diffusion model is accurate enough to include well behaved heterogeneous tissue models in which a number of macroscopic objects of different size and shape are embedded in a homogeneous background medium. I have employed a fitting of the experimental data to the diffusion model to accurately reconstruct not only the position and size, but also the optical properties including the relative index of refraction, absorption and scattering coefficients of objects immersed in highly scattering media. In this thesis I describe a model for locating and characterizing optical inhomogeneities in a turbid medium. I will go on to discuss limits of the technique and present data collected in vivo from a 55 year old female subject with a malignant breast cancer that was detected and optically characterized by these techniques.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
