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A 64 channel 3T array coil for highly accelerated fetal imaging at 22 weeks of pregnancy

Author(s)
Spatz, Mark H
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Alternative title
Sixty-four channel three T array coil for highly accelerated fetal imaging at twenty-two weeks of pregnancy
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Lawrence L. Wald.
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MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
MRI is an attractive tool for fetal imaging due to its unique ability to provide detailed anatomical and physiological data in an inherently safe manner. In practice, the problem of unpredictable and nonrigid fetal motion limits fetal MRI to fast single shot T2 weighted sequences such as HASTE, which have poor tissue contrast, low SNR, and cannot provide detailed physiological information. In this work, we designed, built, and tested a semi-adjustable anatomically shaped 64 channel array coil for fetal imaging at 22 weeks of pregnancy. The coil's performance was compared to that of the vendor's standard configuration consisting of an 18 channel flexible body array and 16 channels from a 32 channel spine array. The fetal coil provides roughly 5% better SNR in the fetal brain region of an anthropomorphic phantom and allows increasing SENSE acceleration factor from R = 4 to R = 5 in the right-left direction and R = 3 to R = 4 in the head-foot direction.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
 
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
Cataloged from student-submitted PDF version of thesis.
 
Includes bibliographical references (page 65).
 
Date issued
2017
URI
http://hdl.handle.net/1721.1/113108
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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