Prior -Information -Driven Magnetic Resonance Imaging and Magnetic Resonance Spectroscopic Imaging
Tsao, Jeffrey
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/2142/85421
Description
Title
Prior -Information -Driven Magnetic Resonance Imaging and Magnetic Resonance Spectroscopic Imaging
Author(s)
Tsao, Jeffrey
Issue Date
2001
Doctoral Committee Chair(s)
Lauterbur, Paul C.
Department of Study
Biophysics and Computational Biology
Discipline
Biophysics and Computational Biology
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Biomedical
Language
eng
Abstract
The research in this thesis is aimed at addressing this issue by studying the properties and vulnerabilities of existing methods, developing new methods to overcome existing limitations, and applying new methods to biomedically relevant applications. By studying the connection among existing methods, an integrative framework was developed that facilitated the design of new reconstruction methods in a systematic fashion. One method in particular, Broad-use Linear Acquisition Speed-up Technique (BLAST), showed considerable improvement over existing methods in terms of reconstruction accuracy and its broad applicability. In addition to introducing several new reconstruction methods, this research led to the development of a consensus reconstruction approach, which adaptively combined several reconstruction methods together to improve the overall robustness. The feasibility of these reconstruction methods and approaches was demonstrated with a wide range of applications, including reduced field-of-view dynamic imaging, T2 mapping, MR thermometry, and MR spectroscopic imaging.
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.
