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Efficient data acquisition, transmission and post-processing for quality spiral Magnetic Resonance Imaging
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- Author / Creator
- Jutras, Jean-David
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Spiral Magnetic Resonance Imaging (MRI) has traditionally presented more technical and
computational challenges compared to its traditional Cartesian counterpart, notably a susceptibility
to blurring artifacts, especially when scan parameters are non-optimal, and a
heavier computational load both at the image reconstruction, and post-processing level.
This research is aimed at improving the efficiency of data acquisition, transmission and
post-processing for spiral MRI, which continues to become a more common sequence choice
in applications where speed, signal-to-noise ratio and geometrical accuracy are key requirements.
In the first part of this thesis, we cover the fundamentals of spiral trajectory design
and acquisition, image reconstruction by means of fast Gaussian gridding, and a rapid
method for deblurring a large in vivo dataset. In the second part, we introduce a novel
technique for compressing spiral MR data acquired from a multi-channel coil array, with
applications in wireless transmission and data storage. The compressed images are indistinguishable
from the originals even though the data has been compressed by a factor of 3
or more. -
- Graduation date
- Fall 2011
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- Type of Item
- Thesis
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- Degree
- Master of Science
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- License
- This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.