Sparse MRI reconstruction using multi-contrast image guided graph representation.
Lai, Zongying ;  Qu, Xiaobo ;  Lu, Hengfa ;  Peng, Xi ;  Guo, Di ;  Yang, Yu ;  Guo, Gang ;  Chen, Zhong
刊名MAGNETIC RESONANCE IMAGING
2017
文献子类期刊论文
英文摘要Accelerating the imaging speed without sacrificing image structures plays an important role in magnetic resonance imaging. Under-sampling the k-space data and reconstructing the image with sparsity constraint is one efficient way to reduce the data acquisition time. However, achieving high acceleration factor is challenging since image structures may be lost or blurred when the acquired information is not sufficient. Therefore, incorporating extra knowledge to improve image reconstruction is expected for highly accelerated imaging. Fortunately, multi contrast images in the same region of interest are usually acquired in magnetic resonance imaging protocols. In this work, we propose a new approach to reconstruct magnetic resonance images by learning the prior knowledge from these multi-contrastimages with graph-based wavelet representations. We further formulate the reconstruction as a bi-level optimization problem to allow misalignment between these images. Experiments on realistic imaging datasets demonstrate that the proposed approach improves the image reconstruction significantly and is practical for real world application since patients are unnecessarily to stay still during successive reference image scans. (C) 2017 Elsevier Inc. All rights reserved.
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语种英语
内容类型期刊论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/12100]  
专题深圳先进技术研究院_医工所
作者单位MAGNETIC RESONANCE IMAGING
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GB/T 7714
Lai, Zongying , Qu, Xiaobo , Lu, Hengfa ,et al. Sparse MRI reconstruction using multi-contrast image guided graph representation.[J]. MAGNETIC RESONANCE IMAGING,2017.
APA Lai, Zongying ., Qu, Xiaobo ., Lu, Hengfa ., Peng, Xi ., Guo, Di .,...& Chen, Zhong.(2017).Sparse MRI reconstruction using multi-contrast image guided graph representation..MAGNETIC RESONANCE IMAGING.
MLA Lai, Zongying ,et al."Sparse MRI reconstruction using multi-contrast image guided graph representation.".MAGNETIC RESONANCE IMAGING (2017).
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