東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Methods for Quantitative Susceptibil...

Wen, Yan.

FindBook

Google Book

Amazon

博客來

Methods for Quantitative Susceptibility Mapping and Its Application to Cardiovascular MRI.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Methods for Quantitative Susceptibility Mapping and Its Application to Cardiovascular MRI./
作者:	Wen, Yan.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	139 p.
附註:	Source: Dissertations Abstracts International, Volume: 81-12, Section: B.
Contained By:	Dissertations Abstracts International81-12B.
標題:	Biomedical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27960508
ISBN:	9781083475770

Methods for Quantitative Susceptibility Mapping and Its Application to Cardiovascular MRI.
Wen, Yan.

Methods for Quantitative Susceptibility Mapping and Its Application to Cardiovascular MRI. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 139 p.

Source: Dissertations Abstracts International, Volume: 81-12, Section: B.

Thesis (Ph.D.)--Cornell University, 2020.

This item must not be sold to any third party vendors.

Magnetic Resonance Imaging (MRI) is a powerful noninvasive medical imaging technique capable of volumetric imaging at an arbitrary plane. Another feature of MRI is its ability to produce images with different contrasts mechanism using different image acquisition strategies; contrasts mechanisms such as proton spin relaxation (T1, T2, etc.), proton motion (diffusion, perfusion, flow, etc.), and molecular electron cloud polarization (magnetic susceptibility). This dissertation focuses on the tissue magnetic susceptibility, and the technique for the mapping of magnetic susceptibility called the Quantitative Susceptibility Mapping (QSM). Specifically, this dissertation will describe 1) the strategies for cardiac and respiratory motions compensation in QSM data acquisitions, 2) the post-processing methods for generating high quality cardiovascular magnetic susceptibility maps, 3) the initial experiences of cardiovascular QSM in clinical settings, and 4) a novel QSM reconstruction algorithm to improve the signal model in dipole inversion.

ISBN: 9781083475770Subjects--Topical Terms:

535387
Biomedical engineering.
Subjects--Index Terms:

Cardiovascular

Methods for Quantitative Susceptibility Mapping and Its Application to Cardiovascular MRI.
LDR:02186nmm a2200349 4500 001 2270140
005 20200921070635.5
008 220629s2020 ||||||||||||||||| ||eng d
020 $a 9781083475770
035 $a (MiAaPQ)AAI27960508
035 $a AAI27960508
040 $a MiAaPQ $c MiAaPQ
100 1 $a Wen, Yan. $3 3547512
245 1 0 $a Methods for Quantitative Susceptibility Mapping and Its Application to Cardiovascular MRI.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 139 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-12, Section: B.
500 $a Advisor: Wang, Yi.
502 $a Thesis (Ph.D.)--Cornell University, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a Magnetic Resonance Imaging (MRI) is a powerful noninvasive medical imaging technique capable of volumetric imaging at an arbitrary plane. Another feature of MRI is its ability to produce images with different contrasts mechanism using different image acquisition strategies; contrasts mechanisms such as proton spin relaxation (T1, T2, etc.), proton motion (diffusion, perfusion, flow, etc.), and molecular electron cloud polarization (magnetic susceptibility). This dissertation focuses on the tissue magnetic susceptibility, and the technique for the mapping of magnetic susceptibility called the Quantitative Susceptibility Mapping (QSM). Specifically, this dissertation will describe 1) the strategies for cardiac and respiratory motions compensation in QSM data acquisitions, 2) the post-processing methods for generating high quality cardiovascular magnetic susceptibility maps, 3) the initial experiences of cardiovascular QSM in clinical settings, and 4) a novel QSM reconstruction algorithm to improve the signal model in dipole inversion.
590 $a School code: 0058.
650 4 $a Biomedical engineering. $3 535387
650 4 $a Medical imaging. $3 3172799
653 $a Cardiovascular
653 $a Inverse problem
653 $a Magnetic resonance imaging
653 $a Quantitative Susceptibility Mapping
690 $a 0541
690 $a 0574
710 2 $a Cornell University. $b Biomedical Engineering. $3 3174073
773 0 $t Dissertations Abstracts International $g 81-12B.
790 $a 0058
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27960508