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Автор Z J Meng
Автор A S Minhas
Автор Y Q Han
Автор W C Jeong
Автор Y T Kim
Автор H J Kim
Автор E J Woo
Дата выпуска 2010-04-01
dc.description Human and animal imaging in magnetic resonance electrical impedance tomography (MREIT) demands high signal-to-noise ratio (SNR) data. We therefore perform MREIT experiments with a higher bandwidth per pixel. This leads to bigger chemical shift artifacts in MR images from fat regions. We may correct such artifacts in MREIT using a recently proposed method based on the three-point Dixon technique. This method is however not suitable for fast imaging pulse sequences. It has a poor SNR and also sometimes leads to swapping of water and fat signals in certain pixels when the field inhomogeneity phase unwrapping algorithm fails. This work demonstrates a new chemical shift artifact correction method in MREIT using a least square estimation method. Iterative separations of water and fat complex images obviate the phase unwrapping step. We present the separated water and fat images using the conventional and also the least square method. These two algorithms are compared in terms of the SNR and their water-fat separation capability. We propose the new method for future studies of fast MREIT imaging experiments.
Формат application.pdf
Издатель Institute of Physics Publishing
Копирайт © 2010 IOP Publishing Ltd
Название Chemical shift artifact correction in MREIT using iterative least square estimation method
Тип paper
DOI 10.1088/1742-6596/224/1/012018
Electronic ISSN 1742-6596
Print ISSN 1742-6588
Журнал Journal of Physics: Conference Series
Том 224
Первая страница 12018
Последняя страница 12021
Аффилиация Z J Meng; Department of Biomedical Engineering, Kyung Hee University, Korea
Аффилиация A S Minhas; Department of Biomedical Engineering, Kyung Hee University, Korea
Аффилиация Y Q Han; Department of Biomedical Engineering, Kyung Hee University, Korea
Аффилиация W C Jeong; Department of Biomedical Engineering, Kyung Hee University, Korea
Аффилиация Y T Kim; Department of Biomedical Engineering, Kyung Hee University, Korea
Аффилиация H J Kim; Department of Biomedical Engineering, Kyung Hee University, Korea
Аффилиация E J Woo; Department of Biomedical Engineering, Kyung Hee University, Korea
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