@inproceedings{babacan2008combination,
abstract = {For most MR imaging applications multiple surface coils are used to obtain images with high signal-to-noise ratios (SNR). However, signal intensity strongly diminishes with distance. Although there are a number of approaches to combine the surface coil images to obtain a high SNR and bias-free image, most of them are developed in an ad hoc manner and lack a systematic treatment. In this work we propose a new approach, an iterative weighted constrained least squares (WCLS) restoration method, for combining surface coil images. The algorithm is fully automated and outperforms approaches which appeared in the literature. {\textcopyright} 2008 IEEE.},
author = {Babacan, S. Derin and {Xiaoming Yin} and Larson, Andrew C. and Katsaggelos, Aggelos K.},
booktitle = {2008 15th IEEE International Conference on Image Processing},
doi = {10.1109/ICIP.2008.4712235},
isbn = {978-1-4244-1765-0},
issn = {15224880},
keywords = {Image restoration,Least squares methods,Magnetic resonance imaging,Parameter estimation},
organization = {IEEE},
pages = {2236--2239},
publisher = {IEEE},
title = {{Combination of MR surface coil images using weighted constrained least squares}},
url = {http://ieeexplore.ieee.org/document/4712235/},
year = {2008}
}

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