Conference Proceeding

Adaptive SENSE reconstruction for parallel imaging with massive array coils

Dept. of Electr. Eng., Texas A&M Univ., TX, USA
10/2004; DOI:10.1109/IEMBS.2004.1403347 pp.1064 - 1067 In proceeding of: Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE, Volume: 1
Source: IEEE Xplore

ABSTRACT This work presents an adaptive SENSE reconstruction method for parallel magnetic resonance imaging with a large number of localized coils. This method uses a Gaussian model to obtain improved coil sensitivity estimate. For image reconstruction, it dynamically selects a subset of receiver channels, in a pixel-by-pixel fashion, to improve computational efficiency and the signal-to-noise ratio (SNR). Computer simulations and real experiments show that the proposed method reconstructs images with reduced artifacts and higher SNR than the SENSE method.

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Keywords

coil sensitivity estimate
 
Gaussian model
 
image reconstruction
 
parallel magnetic resonance imaging
 
proposed method reconstructs images
 
real experiments
 
receiver channels
 
signal-to-noise ratio
 
subset
 
work presents