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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Morvidone, M. Truong, T.T. Nguyen, M.K. Zaidi, H. |
| Copyright Year | 2010 |
| Description | Author affiliation: Equipes Traitement de l'Information et Systèmes, CNRS 8051/ ENSEA / Université de Cergy-Pontoise, F-95302, France (Nguyen, M.K.) || Geneva University Hospital, Division of Nuclear Medicine, CH-1211, Switzerland (Zaidi, H.) || Laboratoire de Physique Théorique et Modélisation, CNRS 8089/ Université de Cergy-Pontoise, F-95302, France (Morvidone, M.; Truong, T.T.) |
| Abstract | Conventional tomographies (e.g. X-ray scanner, Positron Emission Tomography), functioning on primary radiation are modeled by the Radon transform (RT) which is an integral transform defined on straight lines. In this paper, we consider a new RT defined on a pair of half-lines forming a letter V, which arises from modeling two-dimensional emission imaging process by Compton scattered gamma rays. We give its definition and establish its analytic inverse to support the feasibility of the reconstruction of a two-dimensional (2D) image from scattered radiation measured on a one-dimensional collimated camera. Moreover, a filtered back-projection inversion method is also constructed. Its main advantages are algorithmic efficiency and computational rapidity. We present numerical simulations to illustrate the working. To sum up, the V-line RT leads not only to a new imaging principle, but also to a new concept of detector with high energetic resolution capable to collect the scattered radiation. |
| Starting Page | 629 |
| Ending Page | 632 |
| File Size | 336357 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424479924 |
| ISSN | 15224880 |
| e-ISBN | 9781424479948 |
| e-ISBN | 9781424479931 |
| DOI | 10.1109/ICIP.2010.5653835 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-26 |
| Publisher Place | Hong Kong |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Transforms Image reconstruction Photonics Cameras TV Detectors tomography Radon transforms image reconstruction nuclear imaging |
| Content Type | Text |
| Resource Type | Article |
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