Noo F, Defrise M, Clackdoyle R
Université de Liège, Belgium.
Phys Med Biol. 1999 Feb;44(2):561-70. doi: 10.1088/0031-9155/44/2/019.
In this paper, we present reconstruction results from helical cone-beam CT data, obtained using a simple and fast algorithm, which we call the CB-SSRB algorithm. This algorithm combines the single-slice rebinning method of PET imaging with the weighting schemes of spiral CT algorithms. The reconstruction is approximate but can be performed using 2D multislice fan-beam filtered backprojection. The quality of the results is surprisingly good, and far exceeds what one might expect, even when the pitch of the helix is large. In particular, with this algorithm comparable quality is obtained using helical cone-beam data with a normalized pitch of 10 to that obtained using standard spiral CT reconstruction with a normalized pitch of 2.
在本文中，我们展示了使用一种简单快速算法从螺旋锥束CT数据中获得的重建结果，我们将该算法称为CB - SSRB算法。此算法将PET成像的单切片重排方法与螺旋CT算法的加权方案相结合。重建是近似的，但可以使用二维多层扇束滤波反投影来执行。结果的质量出奇地好，甚至当螺旋的螺距很大时，也远远超过人们的预期。特别是，使用归一化螺距为10的螺旋锥束数据，通过该算法获得的质量与使用归一化螺距为2的标准螺旋CT重建所获得的质量相当。
