Reduced aliasing artifacts using shaking projection k-space sampling trajectory

doi:10.1088/1674-1056/23/3/038702

中国物理B ›› 2014, Vol. 23 ›› Issue (3): 38702-038702.doi: 10.1088/1674-1056/23/3/038702

• INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY • 上一篇下一篇

Reduced aliasing artifacts using shaking projection k-space sampling trajectory

朱艳春^a, 杜江^b, 杨文超^{a c}, 段侪杰^d, 王浩宇^a, 高嵩^{a e}, 包尚联^a

a Beijing Key Laboratory of Medical Physics and Engineering, School of Physics, Peking University, Beijing 100871, China;
b Department of Radiology, University of California, San Diego, CA 92103-8226, USA;
c Institute of Computational Physics and Complex Systems, Lanzhou University, Lanzhou 730000, China;
d Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua University, Shenzhen 518055, China;
e Medical Imaging Physics Laboratory, Health Science Center of Peking University, Beijing 100191, China

收稿日期:2013-12-16 修回日期:2014-01-07 出版日期:2014-03-15 发布日期:2014-03-15
基金资助:
Project supported by the National Basic Research Program of China (Grant No. 2011CB707701), the Innovation Fund for Technology Based Firms, China (Grant No. 11C26221103870), the National High Technology Research and Development Program of China (Grant Nos. 2011BAI12B05 and 2011BAI23B07), the National Natural Science Foundation of China (Grant Nos. 81171330, 81271664, and 81230035).

Reduced aliasing artifacts using shaking projection k-space sampling trajectory

Zhu Yan-Chun (朱艳春)^a, Du Jiang (杜江)^b, Yang Wen-Chao (杨文超)^{a c}, Duan Chai-Jie (段侪杰)^d, Wang Hao-Yu (王浩宇)^a, Gao Song (高嵩)^{a e}, Bao Shang-Lian (包尚联)^a

a Beijing Key Laboratory of Medical Physics and Engineering, School of Physics, Peking University, Beijing 100871, China;
b Department of Radiology, University of California, San Diego, CA 92103-8226, USA;
c Institute of Computational Physics and Complex Systems, Lanzhou University, Lanzhou 730000, China;
d Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Tsinghua University, Shenzhen 518055, China;
e Medical Imaging Physics Laboratory, Health Science Center of Peking University, Beijing 100191, China

Received:2013-12-16 Revised:2014-01-07 Online:2014-03-15 Published:2014-03-15
Contact: Gao Song, Bao Shang-Lian E-mail:gaoss@bjmu.edu.cn;bao@pku.edu.cn
Supported by:
Project supported by the National Basic Research Program of China (Grant No. 2011CB707701), the Innovation Fund for Technology Based Firms, China (Grant No. 11C26221103870), the National High Technology Research and Development Program of China (Grant Nos. 2011BAI12B05 and 2011BAI23B07), the National Natural Science Foundation of China (Grant Nos. 81171330, 81271664, and 81230035).

摘要/Abstract

摘要： Radial imaging techniques, such as projection-reconstruction (PR), are used in magnetic resonance imaging (MRI) for dynamic imaging, angiography, and short-T2 imaging. They are less sensitive to flow and motion artifacts, and support fast imaging with short echo times. However, aliasing and streaking artifacts are two main sources which degrade radial imaging quality. For a given fixed number of k-space projections, data distributions along radial and angular directions will influence the level of aliasing and streaking artifacts. Conventional radial k-space sampling trajectory introduces an aliasing artifact at the first principal ring of point spread function (PSF). In this paper, a shaking projection (SP) k-space sampling trajectory was proposed to reduce aliasing artifacts in MR images. SP sampling trajectory shifts the projection alternately along the k-space center, which separates k-space data in the azimuthal direction. Simulations based on conventional and SP sampling trajectories were compared with the same number projections. A significant reduction of aliasing artifacts was observed using the SP sampling trajectory. These two trajectories were also compared with different sampling frequencies. A SP trajectory has the same aliasing character when using half sampling frequency (or half data) for reconstruction. SNR comparisons with different white noise levels show that these two trajectories have the same SNR character. In conclusion, the SP trajectory can reduce the aliasing artifact without decreasing SNR and also provide a way for undersampling reconstruction. Furthermore, this method can be applied to three-dimensional (3D) hybrid or spherical radial k-space sampling for a more efficient reduction of aliasing artifacts.

关键词: shaking projection, radial sampling, gridding reconstruction, point spread function

Abstract: Radial imaging techniques, such as projection-reconstruction (PR), are used in magnetic resonance imaging (MRI) for dynamic imaging, angiography, and short-T2 imaging. They are less sensitive to flow and motion artifacts, and support fast imaging with short echo times. However, aliasing and streaking artifacts are two main sources which degrade radial imaging quality. For a given fixed number of k-space projections, data distributions along radial and angular directions will influence the level of aliasing and streaking artifacts. Conventional radial k-space sampling trajectory introduces an aliasing artifact at the first principal ring of point spread function (PSF). In this paper, a shaking projection (SP) k-space sampling trajectory was proposed to reduce aliasing artifacts in MR images. SP sampling trajectory shifts the projection alternately along the k-space center, which separates k-space data in the azimuthal direction. Simulations based on conventional and SP sampling trajectories were compared with the same number projections. A significant reduction of aliasing artifacts was observed using the SP sampling trajectory. These two trajectories were also compared with different sampling frequencies. A SP trajectory has the same aliasing character when using half sampling frequency (or half data) for reconstruction. SNR comparisons with different white noise levels show that these two trajectories have the same SNR character. In conclusion, the SP trajectory can reduce the aliasing artifact without decreasing SNR and also provide a way for undersampling reconstruction. Furthermore, this method can be applied to three-dimensional (3D) hybrid or spherical radial k-space sampling for a more efficient reduction of aliasing artifacts.

Key words: shaking projection, radial sampling, gridding reconstruction, point spread function

中图分类号: (Magnetic resonance imaging)

87.61.-c

87.15.A- (Theory, modeling, and computer simulation) 87.57.C- (Image quality)

朱艳春, 杜江, 杨文超, 段侪杰, 王浩宇, 高嵩, 包尚联. Reduced aliasing artifacts using shaking projection k-space sampling trajectory[J]. 中国物理B, 2014, 23(3): 38702-038702.

Zhu Yan-Chun (朱艳春), Du Jiang (杜江), Yang Wen-Chao (杨文超), Duan Chai-Jie (段侪杰), Wang Hao-Yu (王浩宇), Gao Song (高嵩), Bao Shang-Lian (包尚联). Reduced aliasing artifacts using shaking projection k-space sampling trajectory[J]. Chin. Phys. B, 2014, 23(3): 38702-038702.

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Reduced aliasing artifacts using shaking projection k-space sampling trajectory

Reduced aliasing artifacts using shaking projection k-space sampling trajectory

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