Soimu Delia, Buliev Ivan, Pallikarakis Nicolas
Department of Medical Physics, School of Medicine, University of Patras, Patras 26500, Greece.
Comput Med Imaging Graph. 2008 Apr;32(3):210-20. doi: 10.1016/j.compmedimag.2007.12.005. Epub 2008 Feb 5.
Image reconstruction from X-ray cone-beam projections collected along a single-circular source trajectory is commonly done using the Feldkamp (FDK) algorithm which performs well only with a small cone-angle. Although this method does not provide an "exact" reconstruction, the approximation is considered adequate for many purposes. In FDK reconstruction the degree of inaccuracy is highly object-dependent, and the largest errors are to be expected for planes parallel to and remote from the midplane. In this study we investigated the possibility to accurately reconstruct these regions by applying FDK algorithm along three-orthogonal to each other circular scanning trajectories. After appropriate weighting, based on the expected errors for each individual reconstruction, the final 3D volume contains the most precisely recovered values. By comparing the quality of 3D reconstructed images using FDK algorithm on projections acquired along classical single-circular and two- and three-orthogonal circular trajectories, we show that using three-orthogonal circular isocentric orbits with an error-based weighted averaging, image quality of reconstructed slices significantly improves, reconstruction error due to circular scanning is reduced and becomes almost independent of the slice position even for relatively large cone-angles.
沿单圆源轨迹采集的X射线锥束投影的图像重建通常使用Feldkamp(FDK)算法来完成,该算法仅在小锥角情况下表现良好。尽管此方法不能提供“精确”重建,但该近似在许多情况下被认为是足够的。在FDK重建中,不精确程度高度依赖于物体,并且对于与中平面平行且远离中平面的平面,预计会出现最大误差。在本研究中,我们研究了通过沿相互正交的三条圆形扫描轨迹应用FDK算法来精确重建这些区域的可能性。在基于每个单独重建的预期误差进行适当加权后,最终的三维体积包含恢复最精确的值。通过比较使用FDK算法对沿经典单圆、双正交圆和三正交圆轨迹采集的投影进行三维重建图像的质量,我们表明,使用具有基于误差加权平均的三正交圆形等中心轨道时,重建切片的图像质量显著提高,由于圆形扫描导致的重建误差减小,并且即使对于相对较大的锥角,该误差也几乎与切片位置无关。