[1]陈美玲,黄毅,陈武凡,等.运动配准先验图像的4D-CBCT优质重建[J].南方医科大学学报,2019,(02):201.[doi:10.12122/j.issn.1673-4254.2019.02.12]
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运动配准先验图像的4D-CBCT优质重建()
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《南方医科大学学报》[ISSN:1673-4254/CN:44-1627/R]

卷:
期数:
2019年02期
页码:
201
栏目:
出版日期:
2019-02-28

文章信息/Info

Title:
High-quality reconstruction of four-dimensional cone beam CT from motion registration prior image
作者:
陈美玲黄毅陈武凡陈歆张华
关键词:
四维锥束CT运动伪影先验图像PICCS算法
Keywords:
four-dimensional cone beam CT motion artifact prior image prior image constrained compressed sensing algorithm
DOI:
10.12122/j.issn.1673-4254.2019.02.12
摘要:
四维锥束CT(4D-CBCT)成像可以为图像引导放射治疗提供精确的实时呼吸运动定位信息,如何提高4D-CBCT重建图像 的精确度是目前研究的热点,压缩感知方法(PICCS)算法在基于压缩感知(CS)理论的所有4D-CBCT重建算法中表现上佳,本 文提出的改进先验图像的PICCS算法在传统PICCS算法基础上针对先验图像进行改进,按照每一个相位的位置信息构建其对 应的先验图像,消除了投影数据不匹配所导致的重建图像运动模糊的现象,实验结果展示了文章方法相比传统的PICCS重建结 果组织边界更加清晰,运动伪影减少,图像分辨率提高。
Abstract:
Four-dimensional cone beam CT (4D-CBCT) imaging can provide accurate location information of real-time breathing for imaging-guided radiotherapy. How to improve the accuracy of 4D-CBCT reconstruction image is a hot topic in current studies. PICCS algorithm performs remarkably in all 4D-CBCT reconstruction algorithms based on CS theory. The improved PICCS algorithm proposed in this paper improves the prior image on the basis of the traditional PICCS algorithm. According to the location information of each phase, the corresponding prior image is constructed, which completely eliminates the motion blur of the reconstructed image caused by the mismatch of the projection data. Meanwhile, the data fidelity model of the proposed method is consistent with the traditional PICCS algorithm. The experimental results showed that the reconstructed image using the proposed method had a clearer organization boundary compared with that of images reconstructed using the traditional PICCS algorithm. This proposed method significantly reduced the motion artifact and improved the image resolution.
更新日期/Last Update: 1900-01-01