Comparative evaluation of linear interpolation models for iterative reconstruction in X-ray CT
Schmitt K, Schöndube H, Stiersdorfer K, Hornegger J, Noo F (2013)
Publication Type: Conference contribution, Conference Contribution
Publication year: 2013
Journal
Original Authors: Schmitt K., Schondube H., Stierstorfer K., Hornegger J., Noo F.
Book Volume: 8668
Pages Range: -
Event location: Lake Buena Vista, FL
Journal Issue: null
DOI: 10.1117/12.2008175
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.
Authors with CRIS profile
Katharina Hahn
Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)
Joachim Hornegger
Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)
Involved external institutions
Germany (DE)
United States (USA) (US)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. In Proceedings of the Medical Imaging 2013: Physics of Medical Imaging (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. -.
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