Constrained image reconstruction and spin tagging techniques for functional MR imaging
Chandra, Sudeep
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/2142/21722
Description
Title
Constrained image reconstruction and spin tagging techniques for functional MR imaging
Author(s)
Chandra, Sudeep
Issue Date
1994
Doctoral Committee Chair(s)
Lauterbur, Paul C.
Department of Study
Biophysics and Computational Biology
Discipline
Biophysics
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Biomedical
Health Sciences, Radiology
Biophysics, Medical
Language
eng
Abstract
Magnetic Resonance Imaging (MRI) holds enormous potential for exploring the functional centers of a living brain in vivo. Among the MRI techniques a number of different approaches have provided initial success. The focus of this work is on applications of constrained image processing techniques for accelerated data acquisition in many different areas of MRI that have the promise to be useful in dynamic functional studies. In addition, some new variations of spin tagging techniques have been developed that might be useful in the future to study small micromotions in vivo such as microcirculation in capillaries.
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.