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 proceedingConference 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 languageEnglish (US)
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages2236-2239
Number of pages4
DOIs
StatePublished - Dec 1 2008
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: Oct 12 2008Oct 15 2008

Publication series

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

Other

Other2008 IEEE International Conference on Image Processing, ICIP 2008
CountryUnited States
CitySan Diego, CA
Period10/12/0810/15/08

Keywords

  • Image restoration
  • Least squares methods
  • Magnetic resonance imaging
  • Parameter estimation

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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