Combination of MR surface coil images using weighted constrained least squares

S. Derin Babacan; Xiaoming Yin; Andrew Christian Larson; Aggelos K Katsaggelos

doi:10.1109/ICIP.2008.4712235

Combination of MR surface coil images using weighted constrained least squares

S. Derin Babacan, Xiaoming Yin, Andrew Christian Larson, Aggelos K Katsaggelos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

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.

Original language	English (US)
Title of host publication	2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages	2236-2239
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2008.4712235
State	Published - Dec 1 2008
Event	2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States Duration: Oct 12 2008 → Oct 15 2008

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Other

Other	2008 IEEE International Conference on Image Processing, ICIP 2008
Country	United States
City	San Diego, CA
Period	10/12/08 → 10/15/08

Keywords

Image restoration
Least squares methods
Magnetic resonance imaging
Parameter estimation

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

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title = "Combination of MR surface coil images using weighted constrained least squares",

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.",

keywords = "Image restoration, Least squares methods, Magnetic resonance imaging, Parameter estimation",

author = "Babacan, {S. Derin} and Xiaoming Yin and Larson, {Andrew Christian} and Katsaggelos, {Aggelos K}",

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Babacan, SD, Yin, X, Larson, AC & Katsaggelos, AK 2008, Combination of MR surface coil images using weighted constrained least squares. in 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings., 4712235, Proceedings - International Conference on Image Processing, ICIP, pp. 2236-2239, 2008 IEEE International Conference on Image Processing, ICIP 2008, San Diego, CA, United States, 10/12/08. https://doi.org/10.1109/ICIP.2008.4712235

Combination of MR surface coil images using weighted constrained least squares. / Babacan, S. Derin; Yin, Xiaoming; Larson, Andrew Christian; Katsaggelos, Aggelos K.

2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings. 2008. p. 2236-2239 4712235 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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