Reconstruction algorithms for MRI
Name
844752790-MIT.pdf
Description
Full printable version
Size
17.71 MB
Format
Adobe PDF
Checksum (MD5)
f0c736f044e11947e4375036eff3e0b1
Author(s)
Bilgic̦, Berkin
Advisor(s)
Elfar Adalsteinsson.
Alternative Title
Reconstruction algorithms for Magnetic Resonance Imaging
Date Issued
2013
Publisher
Massachusetts Institute of Technology
Abstract
This dissertation presents image reconstruction algorithms for Magnetic Resonance Imaging (MRI) that aims to increase the imaging efficiency. Algorithms that reduce imaging time without sacrificing the image quality and mitigate image artifacts are proposed. The goal of increasing the MR efficiency is investigated across multiple imaging techniques: structural imaging with multiple contrasts preparations, Diffusion Spectrum Imaging (DSI), Chemical Shift Imaging (CSI), and Quantitative Susceptibility Mapping (QSM). The main theme connecting the proposed methods is the utilization of prior knowledge on the reconstructed signal. This prior often presents itself in the form of sparsity with respect to either a prespecified or learned signal transformation.
Description
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 135-142).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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reproduction or distribution in any format is prohibited without written
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