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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guorui Yan Jie Tian Shouping Zhu Chenghu Qin Yakang Dai Fei Yang Di Dong Ping Wu |
| Copyright Year | 1997 |
| Abstract | Katsevich reconstruction algorithm represents a breakthrough for helical cone-beam computed tomography (CT) reconstruction, because it is the first exact cone-beam reconstruction algorithm of filtered backprojection (FBP) type with 1-D shift-invariant filtering. Although FBP-type reconstruction algorithm is effective, 3-D CT reconstruction is time-consuming, and the accelerations of Katsevich algorithm on CPU or cluster have been widely studied. In this paper, Katsevich algorithm is accelerated by using graphics processing unit, including flat-detector and curved-detector geometry in the case of helical orbit. An overscan formula is derived, which helps to avoid unnecessary overscan in practical CT scanning. Based on the overscan formula, a volume-blocking method in device memory is proposed. One advantage of the blocking method is that it can reconstruct large volume with high speed. |
| Sponsorship | IEEE Engineering in Medicine and Biology Society IEEE Computer Society |
| Page Count | 9 |
| File Size | 632318 |
| Starting Page | 1053 |
| Ending Page | 1061 |
| File Format | |
| ISSN | 10897771 |
| Volume Number | 14 |
| Issue Number | 4 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-01 |
| Publisher Place | U.S.A. |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computed tomography Acceleration Reconstruction algorithms Image reconstruction Clustering algorithms Graphics Content addressable storage Central Processing Unit Biomedical image processing Automation overscan Computed tomography (CT) graphics processing unit (GPU) Katsevich algorithm |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications Biotechnology |
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