Motion -Compensated 3-D Generalized Series Imaging
Hess, Christopher Paul
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/2142/81308
Description
Title
Motion -Compensated 3-D Generalized Series Imaging
Author(s)
Hess, Christopher Paul
Issue Date
1999
Doctoral Committee Chair(s)
Liang, Zhi-Pei
Department of Study
Electrical Engineering
Discipline
Electrical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Health Sciences, Radiology
Language
eng
Abstract
Three-dimensional magnetic resonance (MR) imaging is highly desirable from the standpoints of minimum voxel size, volumetric coverage and signal-to-noise efficiency. Unfortunately, long scan times have traditionally precluded the use of 3-D imaging in applications where simultaneous resolution of both small spatial structures and closely spaced temporal events is important. The research in this thesis is aimed at exploiting the generalized series (GS) framework to improve imaging efficiency for 3-D dynamic MR imaging. Several data acquisition, sampling and modeling techniques for time-resolved volumetric imaging are proposed and analyzed. The research also includes a characterization of the effects of object motion in GS imaging. It is shown that, unlike other constrained dynamic imaging methods, measured data can be retrospectively processed to correct for motion after the experiment. This asset is especially important for 3-D imaging, where scan times may be long even when the GS approach is used to reduce the number of measurements. Based on the assumption of rigid-body displacement, two motion compensation techniques are developed to reduce the sensitivity of the GS method to motion. Finally, computer simulation and experimental results are provided to demonstrate the practical application of the proposed motion-compensated 3-D GS imaging approach. This method should prove useful for a number of applications, including contrast-enhanced MR mammography, dynamic MR angiography, monitoring of interventional procedures and functional brain studies.
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.
