Parallel Backprojection-Filtration Algorithm for 3D Helical Cone-Beam CT

被引：0
|
作者：
Liu, Baodong [1 ]
Zeng, Li [1 ]
Zou, Xiaobing [1 ]
机构：
[1] Chongqing Univ, ICT Res Ctr, Key Lab Optoelect Technol & Syst, Educ Minist China, Chongqing 400044, Peoples R China
来源：
2010 6TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS NETWORKING AND MOBILE COMPUTING (WICOM) | 2010年
关键词：
Image Reconstruction; Computed Tomography (CT); Backprojection-Filtration Algorithm; Parallel Computing; IMAGE-RECONSTRUCTION; IMPLEMENTATION;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The backprojection-filtration (BPF) algorithm is one of the exact image reconstruction algorithms from cone-beam projections. It can be applied to reconstruct images for a wide class of general scanning trajectories and is capable of reconstructing an image within a region of interest (ROI) from projection data containing truncations. Just like the other 3D image reconstruction algorithms, the BPF algorithm is time consuming. Here we study a parallel computing scheme, which partitions the image data according to PI-planes, to accelerate the BPF algorithm. Several numerical experiments are conducted on a cluster to verify the benefits of parallel implementations.
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页数：4
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