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基于小波变换的多分辨率锥束CT图像快速三维重建算法

韩民 成旭 李登旺

韩民, 成旭, 李登旺. 基于小波变换的多分辨率锥束CT图像快速三维重建算法[J]. 电子与信息学报, 2017, 39(10): 2437-2441. doi: 10.11999/JEIT170003
引用本文: 韩民, 成旭, 李登旺. 基于小波变换的多分辨率锥束CT图像快速三维重建算法[J]. 电子与信息学报, 2017, 39(10): 2437-2441. doi: 10.11999/JEIT170003
HAN Min, CHENG Xu, LI Dengwang. Fast 3D Reconstruction Algorithm of Multi-resolution Cone Beam CT Image Based on Wavelet Transform[J]. Journal of Electronics and Information Technology, 2017, 39(10): 2437-2441. doi: 10.11999/JEIT170003
Citation: HAN Min, CHENG Xu, LI Dengwang. Fast 3D Reconstruction Algorithm of Multi-resolution Cone Beam CT Image Based on Wavelet Transform[J]. Journal of Electronics and Information Technology, 2017, 39(10): 2437-2441. doi: 10.11999/JEIT170003

基于小波变换的多分辨率锥束CT图像快速三维重建算法

doi: 10.11999/JEIT170003
基金项目: 

国家自然科学基金(61471226),山东省自然科学杰出青年基金(JQ201516)

Fast 3D Reconstruction Algorithm of Multi-resolution Cone Beam CT Image Based on Wavelet Transform

Funds: 

The National Natural Science Foundation of China (61471226), The Distinguished Young Scholars of Shandong Province(JQ201516)

  • 摘要: 为了解决FDK重建算法在锥束CT重建中运算量大,耗时较多,以及针对不同的应用环境提供不同分辨率的3维医学图像问题,该文提出一种基于小波变换的多分辨率锥束CT图像快速3维重建算法。首先对采集到的投影图像进行相应尺度的小波变换,得到各尺度小波分解系数,选择相应尺度的小波系数进行FDK重建,可以得到相应低分辨率的3维图像数据,还可根据需要由得到的低分辨率重建数据分别沿着径向取断层图像,进行相应的小波逆变换,进而得到高分辨率的3维图像数据。实验数据表明,该方法不仅能够得到不同分辨率的3维图像数据,而且相较于传统的FDK算法生成分辨率相同、精度相近的高分辨率3维图像数据,重建速度可以提高1倍以上。
  • ZOU Xiaobing and ZENG Li. Weighted FDK algorithm from spiral cone-beam computed tomography with displaced detector[J]. Journal of Medical Imaging and Health Informatics, 2015, 5(2): 290-295. doi: 10.1166/jmihi.2015.1389.
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    TURBELL H. Cone-beam reconstruction using filtered backprojection[D]. [Ph.D. dissertation], The Linkoping University, 2001.
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    and improvement in flat-panel detector based cone-beam CT
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    /ICMIPE.2013.6864539.
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  • 被引次数: 0
出版历程
  • 收稿日期:  2017-01-03
  • 修回日期:  2017-04-05
  • 刊出日期:  2017-10-19

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