| SPECT局部重建中小波去噪方法研究 |
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| 引用本文： | 温俊海,汪莉,杨镜,陈云斌,LIANG Zheng-rong.SPECT局部重建中小波去噪方法研究[J].北京理工大学学报,2010,30(8):956-959. |
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| 作者姓名： | 温俊海 汪莉 杨镜 陈云斌 LIANG Zheng-rong |
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| 作者单位： | 北京理工大学,生命学院,北京,100081;Department of Radiology,State University of New York at Stony Brook,Stony Brook,New York,USA,11794 |
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| 基金项目： | 国家自然科学基金资助项目，国家教育部新世纪优秀人才支持资助计划，北京理工大学优秀青年教师资助计划 |
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| 摘 要： | 针对单光子发射断层成像技术中全局图像重建时间过长的问题,提出了局部重建的思想,同时为了提高局部重建图像的质量,需要在局部重建之前,对投影图像进行噪声去除.利用基于小波变换的复数改进二元萎缩相关去噪法,对噪声投影图进行处理,并利用局部重建算法进行图像的局部重建,在保留图像细节的同时,降低了图像噪声,缩短了重建时间.利用均方误差评价标准,对去噪结果进行评测,结果表明:在局部重建中,利用该方法进行去噪处理具有良好的效果.
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| 关 键 词： | 单光子发射断层成像 局部重建 小波变换 二元萎缩 均方误差 |
| 收稿时间： | 2009/5/25 0:00:00 |
Wavelet Based De-Noising Methods for Local SPECT Reconstruction |
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| WEN Jun-hai,WANG Li,YANG Jing,CHEN Yun-bin and LIANG Zheng-rong.Wavelet Based De-Noising Methods for Local SPECT Reconstruction[J].Journal of Beijing Institute of Technology(Natural Science Edition),2010,30(8):956-959. |
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| Authors: | WEN Jun-hai WANG Li YANG Jing CHEN Yun-bin and LIANG Zheng-rong |
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| Institution: | School of Life Science, Beijing Institute of Technology, Beijing 100081, China;School of Life Science, Beijing Institute of Technology, Beijing 100081, China;School of Life Science, Beijing Institute of Technology, Beijing 100081, China;School of Life Science, Beijing Institute of Technology, Beijing 100081, China;Department of Radiology, State University of New York at Stony Brook, Stony Brook, New York 11794, USA |
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| Abstract: | Local reconstruction algorithm has been proposed to reduce the reconstructing time in the single photon emission computer tomography (SPECT). To improve the image quality, it is necessary to de-noise the projection image before reconstruction. Revised biva-shrinkage de-nosing based on wavelet transformation,which has a property of reserving detail information, is used to pre-treat the image. The mean square error (MSE) is adopted to evaluate the de-noising image of local reconstruction. The results show that wavelet based de-noising method is effective in local reconstruction algorithm. |
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| Keywords: | single photon emission computer tomography(SPECT) local reconstruction wavelet transformation biva-shrinkage mean square error(MSE) |
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