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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | George, A. Bresler, Y. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept of ECE, Illinois Univ., Urbana, IL (George, A.; Bresler, Y.) |
| Abstract | We introduce a fast algorithm for backprojecting images from tomographic fan-beam projections that aggregates the projections in a hierarchical structure and achieves a computational cost of O(N2 log P), when backprojecting an N times N pixel image from P projections. Like in the parallel-beam algorithm, the images in the hierarchy are formed by the rotation and the adding together of other images made up of fewer projections. The low computational cost of the algorithm depends on the efficient sampling of the intermediate images in the hierarchy. Understanding the algorithm within the signal processing framework, a general scheme for sampling an image made up of projections of arbitrary geometries is introduced. While the algorithm is related to one by Nilsson (1997), the Fourier domain understanding leads to a more efficient sampling scheme for the intermediate images |
| Starting Page | 1188 |
| Ending Page | 1191 |
| File Size | 713333 |
| Page Count | 4 |
| File Format | |
| ISBN | 078039576X |
| DOI | 10.1109/ISBI.2006.1625136 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-04-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Signal processing algorithms Geometry Signal sampling Image reconstruction Computational efficiency Image sampling Pixel Computed tomography Iterative algorithms Aggregates |
| Content Type | Text |
| Resource Type | Article |
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