Conference contribution
(Conference Contribution)


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


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
Event: Medical Imaging 2013: Physics of Medical Imaging
Event location: Lake Buena Vista, FL

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.



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. -).

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. -.

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