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Magnetic Susceptibility Approach for...

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Magnetic Susceptibility Approach for Quantitative Cerebral Oxygen Metabolism Mapping.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Magnetic Susceptibility Approach for Quantitative Cerebral Oxygen Metabolism Mapping./
Author:	Zhang, Jingwei.
Description:	1 online resource (195 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 78-11(E), Section: B.
Contained By:	Dissertation Abstracts International78-11B(E).
Subject:	Biomedical engineering. -
Online resource:	click for full text (PQDT)
ISBN:	9781369885644

Magnetic Susceptibility Approach for Quantitative Cerebral Oxygen Metabolism Mapping.
Zhang, Jingwei.

Magnetic Susceptibility Approach for Quantitative Cerebral Oxygen Metabolism Mapping. - 1 online resource (195 pages)

Source: Dissertation Abstracts International, Volume: 78-11(E), Section: B.

Thesis (Ph.D.)--Cornell University, 2017.

Includes bibliographical references

Magnetic resonance imaging (MRI) is a noninvasive technique that allows imaging three dimensional volume through the body, providing superior soft tissue contrast compared to CT without ionizing radiation. MRI can be used to detect field inhomogeneity induced by blood iron molecules such as deoxyhemoglobin, methemoglobin, and hemosiderin, providing opportunities to identify and quantify these molecules and oxygen consumption, especially in brain. This dissertation reports: 1) a clinical study on intracranial hematoma evolution using quantitative susceptibility mapping (QSM); 2) a new magnetic susceptibility based signal model and MRI technique to quantitatively map cerebral metabolic rate of oxygen (CMRO2) and oxygen extraction fraction (OEF) using QSM; 3) a new algorithm to improve SNR of QSM-based CMRO2 using prior knowledge; 4) a new algorithm called minimal local variance (MLV) to improve clinical practicality of QSM-based CMRO2 by removing the requirement of blood flow challenge. The potential impacts, limitations and future directions of each studies are also discussed.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369885644Subjects--Topical Terms:

588770
Biomedical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Magnetic Susceptibility Approach for Quantitative Cerebral Oxygen Metabolism Mapping.
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035 $a (MiAaPQ)AAI10258684
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040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Zhang, Jingwei. $3 1193193
245 1 0 $a Magnetic Susceptibility Approach for Quantitative Cerebral Oxygen Metabolism Mapping.
264 0 $c 2017
300 $a 1 online resource (195 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 78-11(E), Section: B.
500 $a Adviser: Yi Wang.
502 $a Thesis (Ph.D.)--Cornell University, 2017.
504 $a Includes bibliographical references
520 $a Magnetic resonance imaging (MRI) is a noninvasive technique that allows imaging three dimensional volume through the body, providing superior soft tissue contrast compared to CT without ionizing radiation. MRI can be used to detect field inhomogeneity induced by blood iron molecules such as deoxyhemoglobin, methemoglobin, and hemosiderin, providing opportunities to identify and quantify these molecules and oxygen consumption, especially in brain. This dissertation reports: 1) a clinical study on intracranial hematoma evolution using quantitative susceptibility mapping (QSM); 2) a new magnetic susceptibility based signal model and MRI technique to quantitatively map cerebral metabolic rate of oxygen (CMRO2) and oxygen extraction fraction (OEF) using QSM; 3) a new algorithm to improve SNR of QSM-based CMRO2 using prior knowledge; 4) a new algorithm called minimal local variance (MLV) to improve clinical practicality of QSM-based CMRO2 by removing the requirement of blood flow challenge. The potential impacts, limitations and future directions of each studies are also discussed.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Biomedical engineering. $3 588770
655 7 $a Electronic books. $2 local $3 554714
690 $a 0541
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Cornell University. $b Biomedical Engineering. $3 1193194
773 0 $t Dissertation Abstracts International $g 78-11B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10258684 $z click for full text (PQDT)

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