자료유형 | 학위논문 |
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서명/저자사항 | Pushing the Limits of Spectroscopic Imaging Using Novel Low-rank Based Reconstruction Algorithm. |
개인저자 | Bhattacharya, Ipshita. |
단체저자명 | The University of Iowa. Electrical and Computer Engineering. |
발행사항 | [S.l.]: The University of Iowa., 2017. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2017. |
형태사항 | 98 p. |
기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
ISBN | 9780438151413 |
학위논문주기 | Thesis (Ph.D.)--The University of Iowa, 2017. |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Mathews Jacob. |
요약 | Non-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 |
요약 | In 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 |
요약 | In 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 |
요약 | We 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 |
요약 | The 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. |
일반주제명 | Medical imaging. Electrical engineering. |
언어 | 영어 |
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