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A mathematically unified approach to...
~
Dooley, Michael A.
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A mathematically unified approach to accelerated MRI reconstruction.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
A mathematically unified approach to accelerated MRI reconstruction./
Author:
Dooley, Michael A.
Description:
115 p.
Notes:
Adviser: Fred L. Fontaine.
Contained By:
Masters Abstracts International45-06.
Subject:
Engineering, Electronics and Electrical. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1443814
A mathematically unified approach to accelerated MRI reconstruction.
Dooley, Michael A.
A mathematically unified approach to accelerated MRI reconstruction.
- 115 p.
Adviser: Fred L. Fontaine.
Thesis (M.E.)--The Cooper Union for the Advancement of Science and Art, 2007.
This project establishes a mathematical framework that leads to improved understanding of accelerated MRI reconstruction methods, including GRAPPA, SENSE and UNFOLD. Classic techniques are explored and reformulated as multi-dimensional convolution and windowing operations, revealing stark similarities among them. Several variations on the GRAPPA, SENSE and UNFOLD methods are developed within this framework and are implemented in the MATLAB programming environment. Image reconstruction experiments are conducted and results confirm the validity of the reformulations. This unified framework can provide a tool for researchers to develop improved algorithms.Subjects--Topical Terms:
626636
Engineering, Electronics and Electrical.
A mathematically unified approach to accelerated MRI reconstruction.
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Source: Masters Abstracts International, Volume: 45-06, page: 3238.
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This project establishes a mathematical framework that leads to improved understanding of accelerated MRI reconstruction methods, including GRAPPA, SENSE and UNFOLD. Classic techniques are explored and reformulated as multi-dimensional convolution and windowing operations, revealing stark similarities among them. Several variations on the GRAPPA, SENSE and UNFOLD methods are developed within this framework and are implemented in the MATLAB programming environment. Image reconstruction experiments are conducted and results confirm the validity of the reformulations. This unified framework can provide a tool for researchers to develop improved algorithms.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1443814
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