Tang Qiulin, Zeng Gengsheng L, Gullberg Grant T
Department of Physics, University of Utah, Salt Lake City, UT 84112, USA.
Phys Med Biol. 2005 Jul 7;50(13):3153-70. doi: 10.1088/0031-9155/50/13/013. Epub 2005 Jun 22.
In this paper, we developed an analytical fan-beam reconstruction algorithm that compensates for uniform attenuation in SPECT. The new fan-beam algorithm is in the form of backprojection first, then filtering, and is mathematically exact. The algorithm is based on three components. The first one is the established generalized central-slice theorem, which relates the 1D Fourier transform of a set of arbitrary data and the 2D Fourier transform of the backprojected image. The second one is the fact that the backprojection of the fan-beam measurements is identical to the backprojection of the parallel measurements of the same object with the same attenuator. The third one is the stable analytical reconstruction algorithm for uniformly attenuated Radon data, developed by Metz and Pan. The fan-beam algorithm is then extended into a cone-beam reconstruction algorithm, where the orbit of the focal point of the cone-beam imaging geometry is a circle. This orbit geometry does not satisfy Tuy's condition and the obtained cone-beam algorithm is an approximation. In the cone-beam algorithm, the cone-beam data are first backprojected into the 3D image volume; then a slice-by-slice filtering is performed. This slice-by-slice filtering procedure is identical to that of the fan-beam algorithm. Both the fan-beam and cone-beam algorithms are efficient, and computer simulations are presented. The new cone-beam algorithm is compared with Bronnikov's cone-beam algorithm, and it is shown to have better performance with noisy projections.
在本文中,我们开发了一种用于补偿单光子发射计算机断层扫描(SPECT)中均匀衰减的解析扇束重建算法。新的扇束算法采用先反投影再滤波的形式,并且在数学上是精确的。该算法基于三个部分。第一部分是已确立的广义中心切片定理,它将一组任意数据的一维傅里叶变换与反投影图像的二维傅里叶变换联系起来。第二部分是这样一个事实,即扇束测量的反投影与使用相同衰减器对同一物体进行平行测量的反投影是相同的。第三部分是由梅茨(Metz)和潘(Pan)开发的用于均匀衰减的拉东(Radon)数据的稳定解析重建算法。然后将扇束算法扩展为锥束重建算法,其中锥束成像几何结构的焦点轨迹是一个圆。这种轨迹几何结构不满足图伊(Tuy)条件,所得到的锥束算法是一种近似算法。在锥束算法中,首先将锥束数据反投影到三维图像体积中;然后逐片进行滤波。这种逐片滤波过程与扇束算法的相同。扇束算法和锥束算法都很高效,并给出了计算机模拟结果。将新的锥束算法与布罗尼科夫(Bronnikov)的锥束算法进行了比较,结果表明在有噪声投影的情况下,新算法具有更好的性能。