Helical cone-beam CT is widely used nowadays because of its rapid scan speed and efficient utilization of x-ray dose. HCT-FDK is an effective reconstruction algorithm on Helical CT. However, like other 3D reconstruction algorithms, HCT-FDK is time consuming because of its large amount of data processing including the convolution and 3D-3D back projection. Recently, GPU is widely used to parallel many reconstruction algorithms. The latest GPU has some nice features, such as large memory, lots of processors, fast 3D texture mapping, and flexible frame buffer object. All these features help reconstruction a lot. In this paper, we present a solution to this problem with GPU. First, we bring a lookup table into HCT-FDK. Then, both convolution and back projection are implemented on GPU. At last, the reconstruction result is directly smoothed and visualized by GPU. Experimental results are given to compare among CPU and two generations of GPU: Geforce 6800GT and Geforce 8800GTX. The comparison was applied both on simulation data and real data. We show that, GPU-accelerated HCT-FDK gets result with similar levels of noise and clarity but gains a speed increase of about 10-100 times faster than using CPU only. With its newer feature, Geforce 8800GTX can get a similar quality like Geforce 6800GT and about 20 times faster.

Date Published: 18 March 2008
PDF: 8 pages
Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 69132T (18 March 2008); doi: 10.1117/12.770121

Published in SPIE Proceedings Vol. 6913:
Medical Imaging 2008: Physics of Medical Imaging
Jiang Hsieh; Ehsan Samei, Editor(s)