| 注册
首页|期刊导航|波谱学杂志|压缩感知同步扫描重建及其采样方案的研究

压缩感知同步扫描重建及其采样方案的研究

高芒 谢海滨 李智敏 张成秀 奚伟 姜小平 杨光

波谱学杂志2016,Vol.33Issue(2):257-268,12.
波谱学杂志2016,Vol.33Issue(2):257-268,12.DOI:10.11938/cjmr20160208

压缩感知同步扫描重建及其采样方案的研究

A Synchronized Compressed Sensing Scan-Reconstruction Scheme in Magnetic Resonance Imaging

高芒 1谢海滨 1李智敏 1张成秀 2奚伟 2姜小平 2杨光1

作者信息

  • 1. 华东师范大学物理系,上海市磁共振重点实验室,上海 200062
  • 2. 上海卡勒幅磁共振技术有限公司,上海 201614
  • 折叠

摘要

Abstract

Under-sampledk-space data can be used to reconstruct high-quality images with compressed sensing (CS) algorithms, greatly improving the imaging speed. However, the traditional CS reconstruction is time-consuming, and this drawback constitutes a major obstacle to the routine clinical applications of CS-MRI. To reduce the total reconstruction time, we proposed here a synchronized CS scan-reconstruction scheme. In the scheme, reconstruction is carried out while the scan is still in process, such that the reconstructed images can be displayed in real-time, and the operator can terminate the scan as he/she wishes when the quality of the images acquired so far is deemed sufficient for his/her needs. The classic variable density random sampling strategy used for traditional CS reconstruction needs to be modified, since in this scheme the final sampling pattern remains unknown before the termination of the scan. In this paper, we developed an under-sampling strategy to meet the requirements of synchronized CS scan-reconstruction, in which different probability density functions (PDFs) are used for random sampling at different phases. Experimental results demonstrated that, compared to the single-PDF approach, a two-phase sampling strategy provided better reconstruction quality in the whole scan-reconstruction process.

关键词

压缩感知(CS)/磁共振成像(MRI)/同步扫描重建/采样模式

Key words

compressed sensing(CS)/magnetic resonance imaging(MRI)/synchronized scan-reconstruction/sampling scheme

分类

数理科学

引用本文复制引用

高芒,谢海滨,李智敏,张成秀,奚伟,姜小平,杨光..压缩感知同步扫描重建及其采样方案的研究[J].波谱学杂志,2016,33(2):257-268,12.

波谱学杂志

OA北大核心CSCDCSTPCD

1000-4556

访问量0
|
下载量0
段落导航相关论文