Comparative evaluation of linear interpolation models for iterative reconstruction in X-ray CT

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Schmitt K, Schöndube H, Stiersdorfer K, Hornegger J, Noo F
Publication year: 2013
Volume: 8668
Journal issue: null
Pages range: -
ISSN: 1605-7422


Abstract


The forward projection operator is a key component of every iterative reconstruction method in X-ray computed tomography (CT). Besides the choices being made in the definition of the objective function and associated constraints, the forward projection model affects both bias and noise properties of the reconstruction. In this work, we compare three important forward projection models that rely on linear interpolation: the Joseph method, the distance-driven method, and the image representation using B-splines of order n = 1. The comparison focuses on bias and noise in the image as a function of the resolution. X-ray CT data that are simulated in fan-beam geometry with two different magnification factors are used. © 2013 SPIE.



FAU Authors / FAU Editors

Hornegger, Joachim Prof. Dr.-Ing.
Lehrstuhl für Informatik 5 (Mustererkennung)
Schmitt, Katharina
Lehrstuhl für Informatik 5 (Mustererkennung)


How to cite

APA:
Schmitt, K., Schöndube, H., Stiersdorfer, K., Hornegger, J., & Noo, F. (2013). Comparative evaluation of linear interpolation models for iterative reconstruction in X-ray CT. (pp. -). Lake Buena Vista, FL.

MLA:
Schmitt, Katharina, et al. "Comparative evaluation of linear interpolation models for iterative reconstruction in X-ray CT." Proceedings of the Medical Imaging 2013: Physics of Medical Imaging, Lake Buena Vista, FL 2013. -.

BibTeX: 

Last updated on 2018-19-04 at 02:30