Time-resolved cardiac interventional cone-beam CT reconstruction from fully truncated projections using the prior image constrained compressed sensing (PICCS) algorithm.
Time-resolved cardiac interventional cone-beam CT reconstruction from fully truncated projections using the prior image constrained compressed sensing (PICCS) algorithm.
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DOI：
10.1088/0031-9155/57/9/2461
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发表时间：
2012-05-07
影响因子：
3.5
通讯作者：
Chen GH
中科院分区：
文献类型：
--
作者：
Lauzier PT;Tang J;Chen GH
C型臂锥形束CT（CBCT）可在心脏介入治疗中取代术前多层螺旋CT（MDCT）扫描。然而，心脏门控导致视角欠采样，并且检测器的小尺寸导致投影数据截断。这些问题与传统的层析重建算法是不兼容的。本文采用先验图像约束压缩感知（PICCS）重建方法来解决这些问题。该方法的性能进行了比较FDK，FDK与外推投影数据（E-FDK），和全变分压缩感知（TFDK）。使用临床C形臂成像系统采集的犬投影数据集为该评价提供了逼真的心脏运动和解剖结构。模拟了三种不同水平的截断。采用相对均方根误差和通用图像质量指数对重建精度进行量化。得出了三个主要结论。(1)PICCS算法的适应版本提供了最高的图像质量和重建精度。(2)当截断量改变时，没有观察到有意义的性能变化。(3)这项研究表明，准确的内部断层扫描是可能的现实对象，如果有最小的工件的先验图像。
C-arm cone-beam CT (CBCT) could replace preoperative multi-detector CT (MDCT) scans in the cardiac interventional setting. However, cardiac gating results in view angle undersampling and the small size of the detector results in projection data truncation. These problems are incompatible with conventional tomographic reconstruction algorithms. In this paper, the prior image constrained compressed sensing (PICCS) reconstruction method was adapted to solve these issues. The performance of the proposed method was compared to that of FDK, FDK with extrapolated projection data (E-FDK), and total variation-based compressed sensing (TVCS). A canine projection dataset acquired using a clinical C-arm imaging system supplied realistic cardiac motion and anatomy for this evaluation. Three different levels of truncation were simulated. The relative root mean square error and the universal image quality index were used to quantify the reconstruction accuracy. Three main conclusions were reached. (1) The adapted version of the PICCS algorithm offered the highest image quality and reconstruction accuracy. (2) No meaningful variation in performance was observed when the amount of truncation was changed. (3) This study showed evidence that accurate interior tomography is possible for realistic objects if a prior image with minimal artifacts is available.
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影响因子：
3.8
作者：
Lauzier, Pascal Theriault;Tang, Jie;Chen, Guang-Hong
通讯作者：
Chen, Guang-Hong
影响因子：
10.6
作者：
Chen GH;Theriault-Lauzier P;Tang J;Nett B;Leng S;Zambelli J;Qi Z;Bevins N;Raval A;Reeder S;Rowley H
通讯作者：
Rowley H
影响因子：
2.1
作者：
Defrise, Michel;Noo, Frederic;Kudo, Hiroyuki
通讯作者：
Kudo, Hiroyuki
影响因子：
3.5
作者：
Kudo, Hiroyuki;Courdurier, Matias;Defrise, Michel
通讯作者：
Defrise, Michel
影响因子：
7.6
作者：
Han W;Yu H;Wang G
通讯作者：
Wang G