| LDR | | 00000nmm u2200205 4500 |
| 001 | | 000000329980 |
| 005 | | 20241017160845 |
| 008 | | 181129s2017 ||| | | | eng d |
| 020 | |
▼a 9780438151413 |
| 035 | |
▼a (MiAaPQ)AAI10640522 |
| 035 | |
▼a (MiAaPQ)uiowa:15423 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 049 | 1 |
▼f DP |
| 082 | 0 |
▼a 616 |
| 100 | 1 |
▼a Bhattacharya, Ipshita. |
| 245 | 10 |
▼a Pushing the Limits of Spectroscopic Imaging Using Novel Low-rank Based Reconstruction Algorithm. |
| 260 | |
▼a [S.l.] :
▼b The University of Iowa.,
▼c 2017 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2017 |
| 300 | |
▼a 98 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 500 | |
▼a Adviser: Mathews Jacob. |
| 502 | 1 |
▼a Thesis (Ph.D.)--The University of Iowa, 2017. |
| 520 | |
▼a 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 |
| 520 | |
▼a 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 |
| 520 | |
▼a 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 |
| 520 | |
▼a 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 |
| 520 | |
▼a 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. |
| 590 | |
▼a School code: 0096. |
| 650 | 4 |
▼a Medical imaging. |
| 650 | 4 |
▼a Electrical engineering. |
| 690 | |
▼a 0574 |
| 690 | |
▼a 0544 |
| 710 | 20 |
▼a The University of Iowa.
▼b Electrical and Computer Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0096 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2017 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996688
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자
▼b 관리자 |