| 基于模糊增强的磁共振成像PROPELLER采样数据优质重建算法 |
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| 引用本文： | 冯前进,陈武凡.基于模糊增强的磁共振成像PROPELLER采样数据优质重建算法[J].南方医科大学学报,2007,27(5):618-620. |
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| 作者姓名： | 冯前进 陈武凡 |
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| 作者单位： | 南方医科大学生物医学工程系医学图像处理重点实验室,广东,广州,510515 |
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| 基金项目： | 国家重点基础研究发展计划(973计划) |
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| 摘 要： | 目的 提出一种基于模糊增强的重建算法,以改进PROPELLER采样数据中现有重建算法的不足.方法 由每个K空间带补零重建出临时图像,然后提出模糊增强算法,增强后在图像域进行运动参数估计,进行运动补偿后由网格化重建算法重建出结果图像.结果 该算法对于运动参数估计的精度更高,对刚性运动伪影的消除效果明显优于现有算法.结论 该算法可以显著提高PROPELLER采样数据重建图像质量.
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| 关 键 词： | 磁共振成像 PROPELLER采样 图像重建 模糊增强 |
| 文章编号： | 1673-4254（2007）05-0618-03 |
| 收稿时间： | 2006-10-29 |
| 修稿时间： | 2006年10月29 |
Improved reconstruction for PROPELLER data in magnetic resonance imaging based on fuzzy enhancement |
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| FENG Qian-jin,CHEN Wu-fan.Improved reconstruction for PROPELLER data in magnetic resonance imaging based on fuzzy enhancement[J].Journal of Southern Medical University,2007,27(5):618-620. |
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| Authors: | FENG Qian-jin CHEN Wu-fan |
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| Institution: | Key Lab of Medical Image Processing, Southern Medical University, Guangzhou 510515, China. fengqj99@ fimmu.com |
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| Abstract: | To improve the conventional reconstruction algorithm for PROPELLER MRI data, we propose a new algorithm based on fuzzy enhancement. The motion parameters were extracted from fuzzy enhanced images reconstructed through zero-padding strips. After motion compensation, the image was obtained through gridding reconstruction. The experiment results showed that this algorithm could estimate and compensate the motion more robustly and precisely, and the motion artifacts could be better suppressed to obtain improved image quality. |
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| Keywords: | magnetic resonance imaging PROPELLER image reconstruction fuzzy enhancing |
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