| Автор | Pratondo Busono |
| Автор | Esam M A Hussein |
| Дата выпуска | 1999-06-01 |
| dc.description | This paper shows that if the off-beam idle detectors in the detection ring of a fourth-generation x-ray computed tomography (CT) system are used to measure the scattered radiation, it is numerically feasible to reconstruct electron-density images to supplement the conventional attenuation-coefficient images of transmitted radiation. It is also shown that by combining these two images, composition changes can be detected with the aid of an effective-atomic-number indicator. The required image-reconstruction algorithms are developed and tested against Monte Carlo simulated measurements, for a variety of phantom configurations. In spite of the relatively poor statistical quality of scattering measurements, it is demonstrated that electron-density images of reasonable quality can be obtained. In addition, it is shown that composition discrimination is possible for materials of effective atomic number greater than five, in the photon energy range of a typical medical x-ray CT system operating at 102 kV<sub>p</sub>. The obtained supplementary electron-density and composition images can be useful in radiotherapy planning and for studying tumour histology, as well as in industrial and security applications where identification of materials based on density and composition is important. |
| Формат | application.pdf |
| Издатель | Institute of Physics Publishing |
| Название | Algorithms for density and composition-discrimination imaging for fourth-generation CT systems |
| Тип | paper |
| DOI | 10.1088/0031-9155/44/6/303 |
| Electronic ISSN | 1361-6560 |
| Print ISSN | 0031-9155 |
| Журнал | Physics in Medicine and Biology |
| Том | 44 |
| Первая страница | 1455 |
| Последняя страница | 1477 |
| Аффилиация | Pratondo Busono; Department of Mechanical Engineering, University of New Brunswick, PO Box 4400, Fredericton, New Brunswick, Canada E3B 5A3 |
| Аффилиация | Esam M A Hussein; Department of Mechanical Engineering, University of New Brunswick, PO Box 4400, Fredericton, New Brunswick, Canada E3B 5A3 |
| Выпуск | 6 |
