Phase-based regional oxygen metabolism in magnetic resonance imaging at high field
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2010
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| Online Access: | http://hdl.handle.net/1721.1/60162 |
| _version_ | 1811070462420058112 |
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| author | Fan, Audrey Peiwen |
| author2 | Elfar Adalsteinsson. |
| author_facet | Elfar Adalsteinsson. Fan, Audrey Peiwen |
| author_sort | Fan, Audrey Peiwen |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010. |
| first_indexed | 2024-09-23T08:36:24Z |
| format | Thesis |
| id | mit-1721.1/60162 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T08:36:24Z |
| publishDate | 2010 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/601622019-04-09T18:44:25Z Phase-based regional oxygen metabolism in magnetic resonance imaging at high field Fan, Audrey Peiwen Elfar Adalsteinsson. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010. Includes bibliographical references (p. 45-48). Venous oxygen saturation (Yv) in cerebral veins and the cerebral metabolic rate of oxygen (CMRO₂) are important indicators for brain function and disease. Phase-susceptibility measurements in magnetic resonance imaging (MRI) have been used to quantify Yv in candidate cerebral veins. However, currently there is no method to quantify regional CMRO₂ using MRI. Here we propose a novel technique to quantify CMRO₂ from independent MRI estimates of Yv and cerebral blood flow (CBF). Our approach used standard gradient-echo (GRE) and arterial spin labeling (ASL) to make these measurements. Results for in vivo Y, and CMRO₂ estimates on human subjects are presented from application of our technique at 3 Tesla (3T). We also extended our method to high-field human imaging at 7 Tesla (7T), which allows us to take advantage of improved signal-to-noise ratio (SNR) for the same scan duration to achieve higherresolution analysis of vessels of interest. While the higher field strength poses additional challenges, such as increased main field and excitation field inhomogeneities as well as more severe susceptibility artifacts, initial results suggest that substantial benefits can be realized with phase-based regional oxygen metabolism in MRI at high field. by Audrey Peiwen Fan. S.M. 2010-12-06T17:31:50Z 2010-12-06T17:31:50Z 2010 2010 Thesis http://hdl.handle.net/1721.1/60162 681754268 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 48 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Fan, Audrey Peiwen Phase-based regional oxygen metabolism in magnetic resonance imaging at high field |
| title | Phase-based regional oxygen metabolism in magnetic resonance imaging at high field |
| title_full | Phase-based regional oxygen metabolism in magnetic resonance imaging at high field |
| title_fullStr | Phase-based regional oxygen metabolism in magnetic resonance imaging at high field |
| title_full_unstemmed | Phase-based regional oxygen metabolism in magnetic resonance imaging at high field |
| title_short | Phase-based regional oxygen metabolism in magnetic resonance imaging at high field |
| title_sort | phase based regional oxygen metabolism in magnetic resonance imaging at high field |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/60162 |
| work_keys_str_mv | AT fanaudreypeiwen phasebasedregionaloxygenmetabolisminmagneticresonanceimagingathighfield |