par Cloquet, Christophe 
;Loris, Ignace ;Verhoeven, Caroline ;Defrise, Michel
Référence 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference(29/10-3/11/2012: Anaheim), 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference, IEEE, page (2334-2338)
Publication Publié, 2012
;Loris, Ignace ;Verhoeven, Caroline ;Defrise, Michel Référence 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference(29/10-3/11/2012: Anaheim), 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference, IEEE, page (2334-2338)
Publication Publié, 2012
Publication dans des actes
| Résumé : | In X-Ray CT, the cone-beam geometry leads to specific artifacts. Moreover, as the concern about dose-related health effects rises, the struggle to reduce the dose leads to increased image noise. To overcome these image quality issues, a popular recent trend models CT images by flat regions separated by sharp edges, and incorporate this knowledge into a reconstruction algorithm using a total variation (TV) penalty term. Recently, Loris and Verhoeven (2011) designed the Generalization of the Iterative Soft Thresholding Algorithm (GISTA), that has proven convergence and can handle conveniently a non smooth penalty term, like the TV penalty term. To our knowledge, GISTA has not yet been used to reconstruct medical image data. Therefore, we would like to introduce it to the reconstruction community, and present first results of phantom data acquired on a scanner consisting of a cone beam X-ray source and a flat panel detector. We also propose to accelerate the convergence at the initial iterations, using an innovative restart-strategy. |
