Parallel variable-density spiral imaging using nonlocal total variation reconstruction

doi:10.1088/1674-1056/23/5/057401

中国物理B ›› 2014, Vol. 23 ›› Issue (5): 57401-057401.doi: 10.1088/1674-1056/23/5/057401

• CONDENSED MATTER: ELECTRONIC STRUCTURE, ELECTRICAL, MAGNETIC, AND OPTICAL PROPERTIES • 上一篇下一篇

Parallel variable-density spiral imaging using nonlocal total variation reconstruction

方晟^a, 郭华^b

a Institute of Nulcear and New Energy Technology, Tsinghua University, Beijing 100084, China;
b Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China

收稿日期:2013-11-25 修回日期:2013-12-19 出版日期:2014-05-15 发布日期:2014-05-15
基金资助:
Project supported by the National Natural Science Foundation of China (Grant Nos. 81101030 and 61271132).

Parallel variable-density spiral imaging using nonlocal total variation reconstruction

Fang Sheng (方晟)^a, Guo Hua (郭华)^b

a Institute of Nulcear and New Energy Technology, Tsinghua University, Beijing 100084, China;
b Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China

Received:2013-11-25 Revised:2013-12-19 Online:2014-05-15 Published:2014-05-15
Contact: Guo Hua E-mail:huaguo@tsinghua.edu.cn
About author:74.25.nj; 61.05.Tv; 42.30.Wb
Supported by:
Project supported by the National Natural Science Foundation of China (Grant Nos. 81101030 and 61271132).

摘要/Abstract

摘要： The relatively long scan time is still a bottleneck for both clinical applications and research of magnetic resonance imaging. To reduce the data acquisition time, we propose a novel fast magnetic resonance imaging method based on parallel variable-density spiral acquisition, which combines undersampling optimization and nonlocal total variation reconstruction. The undersampling optimization promotes the incoherence of resultant aliasing artifact via the “worst-case” residual error metric, and thus accelerates the data acquisition. Moreover, nonlocal total variation reconstruction is utilized to remove such an incoherent aliasing artifact and so improve image quality. The feasibility of the proposed method is demonstrated by both numerical phantom simulation and in vivo experiment. The experimental results show that the proposed method can achieve high acceleration factor and effectively remove an aliasing artifact from data undersampling with well-preserved image details. The image quality is better than that achieved with the total variation method.

关键词: magnetic resonance imaging, variable-density spiral, parallel imaging, nonlocal total variation

Abstract: The relatively long scan time is still a bottleneck for both clinical applications and research of magnetic resonance imaging. To reduce the data acquisition time, we propose a novel fast magnetic resonance imaging method based on parallel variable-density spiral acquisition, which combines undersampling optimization and nonlocal total variation reconstruction. The undersampling optimization promotes the incoherence of resultant aliasing artifact via the “worst-case” residual error metric, and thus accelerates the data acquisition. Moreover, nonlocal total variation reconstruction is utilized to remove such an incoherent aliasing artifact and so improve image quality. The feasibility of the proposed method is demonstrated by both numerical phantom simulation and in vivo experiment. The experimental results show that the proposed method can achieve high acceleration factor and effectively remove an aliasing artifact from data undersampling with well-preserved image details. The image quality is better than that achieved with the total variation method.

Key words: magnetic resonance imaging, variable-density spiral, parallel imaging, nonlocal total variation

中图分类号: (Nuclear magnetic resonance)

74.25.nj

61.05.Tv (Neutron imaging; neutron tomography) 42.30.Wb (Image reconstruction; tomography)

方晟, 郭华. Parallel variable-density spiral imaging using nonlocal total variation reconstruction[J]. 中国物理B, 2014, 23(5): 57401-057401.

Fang Sheng (方晟), Guo Hua (郭华). Parallel variable-density spiral imaging using nonlocal total variation reconstruction[J]. Chin. Phys. B, 2014, 23(5): 57401-057401.

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Parallel variable-density spiral imaging using nonlocal total variation reconstruction

Parallel variable-density spiral imaging using nonlocal total variation reconstruction

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