General surface reconstruction for cone-beam multislice spiral computed tomography.
General surface reconstruction for cone-beam multislice spiral computed tomography.
复制标题
锥束多层螺旋计算机断层扫描的一般表面重建。
DOI：
--
复制
发表时间：
2003
期刊：
影响因子：
--
通讯作者：
D. Heuscher
中科院分区：
文献类型：
--
作者：
L. Chen;Yun Liang;D. Heuscher
提出了一种新的锥束重建算法--通用表面重建算法(GSR)，用于多层螺旋CT(CT)重建。它提供了一个通用的框架，允许在一组重新入库的短扫描平行束投影数据上重建平面或非平面表面。作为一个例子，提出了一种迭代曲面生成方法，以显示形成非平面重建曲面的可能性，以最小化收集的锥束投影数据与重建曲面之间的不利影响。从数学上证明了在二维近似锥束重建中非平面表面比平面表面的精度有所提高，并用数值模拟进行了验证。通过对锥束螺旋扫描几何结构和各种数学模型的计算机模拟，对所提出的GSR算法进行了评估。结果表明，与传统的多层重建算法相比，GSR算法产生的图像质量要好得多。对于每次旋转速度高达100 mm的工作台，GSR对低对比度球体模和胸腔体模都显示出良好的图像质量。所有其他性能参数都可与单片180度LI(线性内插)算法相媲美，后者被认为是“黄金标准”。GSR还具有很高的计算效率和良好的时间分辨率，是下一代多层螺旋CT数据重建的一种有吸引力的选择。
A new family of cone-beam reconstruction algorithm, the General Surface Reconstruction (GSR), is proposed and formulated in this paper for multislice spiral computed tomography (CT) reconstructions. It provides a general framework to allow the reconstruction of planar or nonplanar surfaces on a set of rebinned short-scan parallel beam projection data. An iterative surface formation method is proposed as an example to show the possibility to form nonplanar reconstruction surfaces to minimize the adverse effect between the collected cone-beam projection data and the reconstruction surfaces. The improvement in accuracy of the nonplanar surfaces over planar surfaces in the two-dimensional approximate cone-beam reconstructions is mathematically proved and demonstrated using numerical simulations. The proposed GSR algorithm is evaluated by the computer simulation of cone-beam spiral scanning geometry and various mathematical phantoms. The results demonstrate that the GSR algorithm generates much better image quality compared to conventional multislice reconstruction algorithms. For a table speed up to 100 mm per rotation, GSR demonstrates good image quality for both the low-contrast ball phantom and thorax phantom. All other performance parameters are comparable to the single-slice 180 degrees LI (linear interpolation) algorithm, which is considered the "gold standard." GSR also achieves high computing efficiency and good temporal resolution, making it an attractive alternative for the reconstruction of next generation multislice spiral CT data.