2026-09-18T20:13:37Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/379302022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Elfar Adalsteinsson.
Gagoski, Borjan Aleksandar
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2007-07-18T13:12:16Z
2007-07-18T13:12:16Z
2006
2006
http://hdl.handle.net/1721.1/37930
136941124
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Includes bibliographical references (p. 71-73).
Conventional Magnetic Resonance Spectroscopic Imaging (MRSI) suffers from both low signal-to-noise (SNR), as well as long acquisition times. The development of high-fidelity gradient coils has opened opportunities for fast k-space encoding schemes that are already used in structural imaging. At the same time, receive-coil arrays using 4 and 23 channels have been developed and reported to produce improved SNR over conventional quadrature detection by single coils. Fast spectroscopic imaging algorithm using spiral k-space trajectories and multiple-channel coil arrays is proposed in order to overcome the long acquisition-time limitations of conventional MRSI.
by Borjan Aleksandar Gagoski.
S.M.
73 p.
eng
Massachusetts Institute of Technology
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
Electrical Engineering and Computer Science.
Fast magnetic resonance spectroscopic imaging using RF coil arrays
Thesis
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