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A mathematically unified approach to...

Dooley, Michael A.

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A mathematically unified approach to accelerated MRI reconstruction.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	A mathematically unified approach to accelerated MRI reconstruction./
作者:	Dooley, Michael A.
面頁冊數:	115 p.
附註:	Adviser: Fred L. Fontaine.
Contained By:	Masters Abstracts International45-06.
標題:	Engineering, Electronics and Electrical. -
電子資源:	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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520 $a 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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