This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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466
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Type:
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Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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Abstract - #309151 |
Title:
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Noise Assumptions in Complex-Valued SENSE MR Image Reconstruction
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Author(s):
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Daniel B. Rowe*+ and Iain P. Bruce
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Companies:
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Marquette University and Marquette University
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Address:
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Dept of Math, Stat, and Comp Sci, Milwaukee, WI, 53233,
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Keywords:
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fMRI ;
complex-valued ;
phase ;
MRI ;
SENSE ;
k-space
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Abstract:
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In fMRI, brain images are not measured instantaneously and a volume of images can take two seconds to acquire at a low 64x64 resolution. Significant effort has been put forth on many fronts to decrease image acquisition time including parallel imaging. In parallel imaging, sub-sampled spatial frequency points are measured in parallel and combined to form a single image. Measurement time is decreased at the expense of increased image reconstruction difficulty and time. One significant parallel imaging technique known as SENSE utilizes a complex-valued regression coefficient estimation process with transposes replaced by conjugate transposes. However, in SENSE the noise structure is not properly modeled. This work properly models the noise structure for complex-valued least squares regression. Differences in estimated images between SENSE and our new estimation procedure are evaluated.
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