Detection-theoretic evaluation in digital radiography and optical tomography

Persistent Link:
http://hdl.handle.net/10150/280094
Title:
Detection-theoretic evaluation in digital radiography and optical tomography
Author:
Pineda Fortin, Angel
Issue Date:
2002
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
This dissertation explores the application of objective assessment of image quality (OAIQ) to hardware evaluation for both linear shift-variant and nonlinear imaging systems. We define our task to be the detection of a known signal in either a uniform or structured background. In particular, we study the detection of signals in digital radiography and optical tomography. In digital radiography, current figures of merit are based on stationarity assumptions on the data. The Hotelling observer as we compute it does not make such assumptions. We quantify, from a detection-theoretic perspective, the errors incurred by using stationarity assumptions for nonstationary digital data. We find that by using Monte Carlo methods, the Hotelling observer carries over to the nonlinear setting, and we use it to study spatially varying detectability in optical tomography. In optical tomography there are several data types that can be used to detect signals. Using our methodology, we quantify the information content of those data types. Our results show that information content depends on the type of signal and background as well as how deep the signal is in the tissue. This type of analysis is meant to guide experimental techniques to be suited for the desired detection task.
Type:
text; Dissertation-Reproduction (electronic)
Keywords:
Mathematics.; Health Sciences, Radiology.
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Graduate College; Applied Mathematics
Degree Grantor:
University of Arizona
Advisor:
Barrett, Harrison H.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleDetection-theoretic evaluation in digital radiography and optical tomographyen_US
dc.creatorPineda Fortin, Angelen_US
dc.contributor.authorPineda Fortin, Angelen_US
dc.date.issued2002en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThis dissertation explores the application of objective assessment of image quality (OAIQ) to hardware evaluation for both linear shift-variant and nonlinear imaging systems. We define our task to be the detection of a known signal in either a uniform or structured background. In particular, we study the detection of signals in digital radiography and optical tomography. In digital radiography, current figures of merit are based on stationarity assumptions on the data. The Hotelling observer as we compute it does not make such assumptions. We quantify, from a detection-theoretic perspective, the errors incurred by using stationarity assumptions for nonstationary digital data. We find that by using Monte Carlo methods, the Hotelling observer carries over to the nonlinear setting, and we use it to study spatially varying detectability in optical tomography. In optical tomography there are several data types that can be used to detect signals. Using our methodology, we quantify the information content of those data types. Our results show that information content depends on the type of signal and background as well as how deep the signal is in the tissue. This type of analysis is meant to guide experimental techniques to be suited for the desired detection task.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.subjectMathematics.en_US
dc.subjectHealth Sciences, Radiology.en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineApplied Mathematicsen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorBarrett, Harrison H.en_US
dc.identifier.proquest3060967en_US
dc.identifier.bibrecord.b43038402en_US
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.