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Proceedings Paper

Multi-contrast magnetic resonance image reconstruction
Author(s): Meng Liu; Yunmei Chen; Hao Zhang; Feng Huang
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Paper Abstract

In clinical exams, multi-contrast images from conventional MRI are scanned with the same field of view (FOV) for complementary diagnostic information, such as proton density- (PD-), T1- and T2-weighted images. Their sharable information can be utilized for more robust and accurate image reconstruction. In this work, we propose a novel model and an efficient algorithm for joint image reconstruction and coil sensitivity estimation in multi-contrast partially parallel imaging (PPI) in MRI. Our algorithm restores the multi-contrast images by minimizing an energy function consisting of an L2-norm fidelity term to reduce construction errors caused by motion, a regularization term of underlying images to preserve common anatomical features by using vectorial total variation (VTV) regularizer, and updating sensitivity maps by Tikhonov smoothness based on their physical property. We present the numerical results including T1- and T2-weighted MR images recovered from partially scanned k-space data and provide the comparisons between our results and those obtained from the related existing works. Our numerical results indicate that the proposed method using vectorial TV and penalties on sensitivities can be made promising and widely used for multi-contrast multi-channel MR image reconstruction.

Paper Details

Date Published: 20 March 2015
PDF: 10 pages
Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 94130C (20 March 2015); doi: 10.1117/12.2082136
Show Author Affiliations
Meng Liu, Univ. of Florida (United States)
Yunmei Chen, Univ. of Florida (United States)
Hao Zhang, Univ. of Florida (United States)
Feng Huang, Philips Healthcare (Suzhou) Co., Ltd. (China)

Published in SPIE Proceedings Vol. 9413:
Medical Imaging 2015: Image Processing
Sébastien Ourselin; Martin A. Styner, Editor(s)

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