대구한의대학교 향산도서관

상세정보

부가기능

Pushing the Limits of Spectroscopic Imaging Using Novel Low-rank Based Reconstruction Algorithm

상세 프로파일

상세정보
자료유형학위논문
서명/저자사항Pushing the Limits of Spectroscopic Imaging Using Novel Low-rank Based Reconstruction Algorithm.
개인저자Bhattacharya, Ipshita.
단체저자명The University of Iowa. Electrical and Computer Engineering.
발행사항[S.l.]: The University of Iowa., 2017.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2017.
형태사항98 p.
기본자료 저록Dissertation Abstracts International 79-12B(E).
Dissertation Abstract International
ISBN9780438151413
학위논문주기Thesis (Ph.D.)--The University of Iowa, 2017.
일반주기 Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Mathews Jacob.
요약Non-invasively reosolving spatial distribution of tissue metabolites serves as a diagnostic tool to in-vivo metabolism thus making magnetic resonance spectroscopic imaging (MRSI) a very useful application. The tissue concentrations of various me
요약In the last few decades, research in MRSI has focused on advanced data acquisition and reconstruction methods, however they cannot achieve high resolution and feasible scan time. Moreover there are several artifacts that lead to increase of spat
요약In the first part of the thesis we introduce a variable density spiral acquisition technique which achieves high SNR corresponding to metabolites of interest while reducing truncation artifacts. Along with that we develop a novel compartmentaliz
요약We also look at spectral artifacts like Nyquist ghosting which is a common problem with spectral interleaving. Especially in echo-planar spectroscopic imaging (EPSI), one of the most popular MRSI techniques, maintaining a spatial and spectral re
요약The aim of the thesis is to solve these challenges in MRSI from a signal processing perspective and be able to achieve higher resolution data in practical scan time to ultimately help MRSI reach its potential.
일반주제명Medical imaging.
Electrical engineering.
언어영어
바로가기URL : 이 자료의 원문은 한국교육학술정보원에서 제공합니다.

서평(리뷰)

  • 서평(리뷰)

태그

  • 태그

나의 태그

나의 태그 (0)

모든 이용자 태그

모든 이용자 태그 (0) 태그 목록형 보기 태그 구름형 보기
 
로그인폼