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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Taguchi, K. Zeng, G.L. Gullberg, G.T. |
| Copyright Year | 2000 |
| Description | Author affiliation: Med. Syst. R&D Centre, Toshiba Corp., Tochigi, Japan (Taguchi, K.) |
| Abstract | Performing image reconstruction from cone-beam projections is required for both X-ray computed tomography (CT) and single photon emission computed tomography (SPECT). The Grangeat's algorithm consists of three stages: (1) obtaining the first derivative of the plane integral (3D Radon transform) from cone-beam projections, (2) rebinning the data and calculating the second derivative, and (3) reconstructing the image using the 3D Radon backprojection. Recently, a new implementation method of Grangeat's algorithm for the 1/sup st/ stage using spherical harmonics, has been proposed for the short-object problem with a huge-detector. We have modified the method using spherical harmonics to solve the short-object problem with a midsize-detector. The 1/sup st/ stage can be described by the following three steps: (1a) masking the cone-beam projections at each cone vertex position, (1b) calculating partial data of the 1/sup st/ derivative of the 3D Radon transform from masked data using spherical harmonics, and (1c) obtaining complete data of the 1/sup st/ derivative of the 3D Radon transform using the partial data at plural cone vertex positions. If the trajectory of the cone vertex satisfies Tuy's data sufficiency condition, the proposed algorithm provides an exact reconstruction. Computer simulations were performed to verify the approach. |
| File Size | 267547 |
| File Format | |
| ISBN | 0780365038 |
| ISSN | 10823654 |
| DOI | 10.1109/NSSMIC.2000.950060 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-10-15 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image reconstruction X-ray imaging Computed tomography Biomedical imaging Laboratories Radiology Cities and towns Computer simulation Artificial intelligence Genetic expression |
| Content Type | Text |
| Resource Type | Article |
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