Imaging with referenceless distortion correction and flexible regions of interest using single-shot biaxial spatiotemporally encoded MRI

被引:16
|
作者
Li, Jing [1 ]
Chen, Lin [1 ]
Cai, Shuhui [1 ]
Cai, Congbo [2 ]
Zhong, Jianhui [3 ]
Chen, Zhong [1 ]
机构
[1] Xiamen Univ, Dept Elect Sci, Fujian Prov Key Lab Plasma & Magnet Resonance, Xiamen 361005, Peoples R China
[2] Xiamen Univ, Dept Commun Engn, Xiamen 361005, Peoples R China
[3] Univ Rochester, Dept Imaging Sci, Rochester, NY 14642 USA
基金
高等学校博士学科点专项科研基金;
关键词
Ultrafast MRI; Referenceless distortion correction; Biaxial spatiotemporal encoding; Region-of-interest imaging; Super-resolved reconstruction; Iterative reconstruction; ENERGY-SPECTRUM ANALYSIS; ECHO-PLANAR IMAGES; FIELD INHOMOGENEITY; EPI; RESONANCE; RECONSTRUCTION; FMRI; COMPENSATION; RESOLUTION; RASER;
D O I
10.1016/j.neuroimage.2014.10.041
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Owing to its intrinsic characteristics, spatiotemporally encoded (SPEN) imaging is less sensitive to adverse effects due to field inhomogeneity in comparison with echo planar imaging, a feature highly desired for functional, diffusion, and real-time MRI. However, the quality of images obtained with SPEN MRI is still degraded by geometric distortions when field inhomogeneity exists. In this study, a single-shot biaxial SPEN (bi-SPEN) pulse sequence is implemented, utilizing a 90 degrees and a 180 degrees chirp pulse incorporated with two orthogonal gradients. A referenceless geometric-distortion correction based on the single-shot bi-SPEN sequence is then proposed. The distorted image acquired with the single-shot bi-SPEN sequence is corrected by iterative super-resolved reconstruction involving the field gradients estimated from a field map, which in turn is obtained from its own super-resolved data after a phase-unwrapping procedure without additional scans. In addition, the distortion correction method is applied to improve the quality of the multiple region-of-interest images obtained with single-shot bi-SPEN sequence. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:93 / 111
页数:19
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