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2008 21st IEEE International Symposium on Computer-Based Medical Systems
MRI Reconstruction Using SVD in the Least Square Sense
June 17-June 19
ISBN: 978-0-7695-3165-6
ASCII Text
x 
 
Fadi Yaacoub, Antoine Abche, Elie Karam, Yskandar Hamam, "MRI Reconstruction Using SVD in the Least Square Sense," Computer-Based Medical Systems, IEEE Symposium on, pp. 47-49, 2008 21st IEEE International Symposium on Computer-Based Medical Systems, 2008.
 
 
BibTex
x
 
@article{ 10.1109/CBMS.2008.66,
author = {Fadi Yaacoub and Antoine Abche and Elie Karam and Yskandar Hamam},
title = {MRI Reconstruction Using SVD in the Least Square Sense},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2008},
issn = {1063-7125},
pages = {47-49},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2008.66},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - MRI Reconstruction Using SVD in the Least Square Sense
SN - 1063-7125
SP47
EP49
A1 - Fadi Yaacoub,
A1 - Antoine Abche,
A1 - Elie Karam,
A1 - Yskandar Hamam,
PY - 2008
KW - null
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Magnetic Resonance Imaging is a very powerful tool for imaging structures or organs of the human body in a non-invasive manner. Having collected the raw data and discretized in the k-space, Fourier methods are the natural choice to reconstruct the MRI images. In this paper, a technique to reconstruct MRI images is presented. It does not perform the inverse Fourier transform directly on the k-space images. It is based on the SVD decomposition in the least square sense. This approach is compared with other existing approaches using different criteria such as the Root Mean Square and the performance test. The results show that the proposed approach is much better.
Citation:
Fadi Yaacoub, Antoine Abche, Elie Karam, Yskandar Hamam, "MRI Reconstruction Using SVD in the Least Square Sense," cbms, pp.47-49, 2008 21st IEEE International Symposium on Computer-Based Medical Systems, 2008
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