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

Xia Y, Maier A, Berger M, Hornegger J (2014)

Publication Type: Conference contribution, Original article

Publication year: 2014

Publisher: Kluwer Academic Publishers

Edited Volumes: Informatik aktuell

Pages Range: 48-53

Conference Proceedings Title: Bildverarbeitung für die Medizin 2014

Event location: Aachen

URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Xia14-ROI.pdf

DOI: 10.1007/978-3-642-54111-7_14

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.

Authors with CRIS profile

Yan Xia Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung) Martin Berger Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Joachim Hornegger Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

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). Aachen: 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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