Conference contribution
(Original article)


Region of Interest Reconstruction from Dose-minimized Super Short Scan Data


Publication Details
Author(s): Xia Y, Maier A, Berger M, Hornegger J
Title edited volumes: Informatik aktuell
Publisher: Kluwer Academic Publishers
Publication year: 2014
Conference Proceedings Title: Bildverarbeitung für die Medizin 2014
Pages range: 48-53
ISSN: 1431-472X

Event details
Event: Bildverarbeitung für die Medizin
Event location: Aachen
Start date of the event: 16/03/2014
End date of the event: 18/03/2014

Abstract

In this paper, we investigate an ROI image reconstruction in super short scan. The redundant rays in such scan are further shielded by using dynamic collimation. The acquired data coming with an extremely minimized radiation dose are sufficient for image reconstruction. For compensating resulting truncation, we apply a recently proposed algorithm – Approximated Truncation Robust Algorithm for Computed Tomography (ATRACT). The evaluation with two clinical datasets demonstrates that high image quality is achieved using this super short scan, with more dose reduction compared to a standard short scan.



How to cite
APA: Xia, Y., Maier, A., Berger, M., & Hornegger, J. (2014). Region of Interest Reconstruction from Dose-minimized Super Short Scan Data. In Bildverarbeitung für die Medizin 2014 (pp. 48-53). Kluwer Academic Publishers.

MLA: Xia, Yan, et al. "Region of Interest Reconstruction from Dose-minimized Super Short Scan Data." Proceedings of the Bildverarbeitung für die Medizin, Aachen Kluwer Academic Publishers, 2014. 48-53.

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