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MRI Signal Models of Fat and Iron in...

Horng, Debra E.

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MRI Signal Models of Fat and Iron in the Liver.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	MRI Signal Models of Fat and Iron in the Liver./
作者:	Horng, Debra E.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	141 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-12(E), Section: B.
Contained By:	Dissertation Abstracts International78-12B(E).
標題:	Medical imaging. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10599550
ISBN:	9780355064339

MRI Signal Models of Fat and Iron in the Liver.
Horng, Debra E.

MRI Signal Models of Fat and Iron in the Liver. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 141 p.

Source: Dissertation Abstracts International, Volume: 78-12(E), Section: B.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2017.

Magnetic resonance imaging has traditionally provided qualitative information about patient anatomy. However, magnetic resonance methods are sensitive to the presence of different chemicals, such as fat and iron. We will exploit this sensitivity to provide quantitative measures of fat and iron in the context of the liver. Liver fat content is related to non-alcoholic fatty liver disease, while liver iron content is related to genetic hemochromatosis and repeated blood transfusions. Fat quantification requires correction for the tissue's transverse decay; at least two methods have been proposed to model the decay rate, and we will examine these signal models with both simulated and in vivo data, in the context of in vivo liver imaging by comparison to spectroscopy methods. Iron quantification can be performed using multiple methods, among them measuring the transverse decay rate, and estimating the tissue's susceptibility through phase information. We will look at the performance of measuring the transverse decay rate with differing coil combination and parameter fitting and averaging methods, in simulation and in phantoms. Finally, we will present a novel method for part of the quantitative susceptibility estimation pipeline: the theoretical basis is proffered, followed by simulation and experimental results.

ISBN: 9780355064339Subjects--Topical Terms:

3172799
Medical imaging.

MRI Signal Models of Fat and Iron in the Liver.
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520 $a Magnetic resonance imaging has traditionally provided qualitative information about patient anatomy. However, magnetic resonance methods are sensitive to the presence of different chemicals, such as fat and iron. We will exploit this sensitivity to provide quantitative measures of fat and iron in the context of the liver. Liver fat content is related to non-alcoholic fatty liver disease, while liver iron content is related to genetic hemochromatosis and repeated blood transfusions. Fat quantification requires correction for the tissue's transverse decay; at least two methods have been proposed to model the decay rate, and we will examine these signal models with both simulated and in vivo data, in the context of in vivo liver imaging by comparison to spectroscopy methods. Iron quantification can be performed using multiple methods, among them measuring the transverse decay rate, and estimating the tissue's susceptibility through phase information. We will look at the performance of measuring the transverse decay rate with differing coil combination and parameter fitting and averaging methods, in simulation and in phantoms. Finally, we will present a novel method for part of the quantitative susceptibility estimation pipeline: the theoretical basis is proffered, followed by simulation and experimental results.
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