
Proceedings Paper
Iterative CT reconstruction with small pixel size: distance-driven forward projector versus Joseph'sFormat | Member Price | Non-Member Price |
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Paper Abstract
Over the last few years, iterative reconstruction methods have become an important research topic in x-ray CT imaging. This effort is motivated by increasing evidence that such methods may enable significant savings in terms of dose imparted to the patient. Conceptually, iterative reconstruction methods involve two important ingredients: the statistical model, which includes the forward projector, and a priori information in the image domain, which is expressed using a regularizer. Most often, the image pixel size is chosen to be equal (or close) to the detector pixel size (at field-of-view center). However, there are applications for which a smaller pixel size is desired. In this investigation, we focus on reconstruction with a pixel size that is twice smaller than the detector pixel size. Using such a small pixel size implies a large increase in computational effort when using the distance-driven method for forward projection, which models the detector size. On the other hand, the more efficient method of Joseph will create imbalances in the reconstruction of each pixel, in the sense that there will be large differences in the way each projection contributes to the pixels. The purpose of this work is to evaluate the impact of these imbalances on image quality in comparison with utilization of the distance-driven method. The evaluation involves computational effort, bias and noise metrics, and LROC analysis using human observers. The results show that Joseph's method largely remains attractive.
Paper Details
Date Published: 18 March 2015
PDF: 7 pages
Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94123D (18 March 2015); doi: 10.1117/12.2079286
Published in SPIE Proceedings Vol. 9412:
Medical Imaging 2015: Physics of Medical Imaging
Christoph Hoeschen; Despina Kontos, Editor(s)
PDF: 7 pages
Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94123D (18 March 2015); doi: 10.1117/12.2079286
Show Author Affiliations
K. Hahn, Univ. of Erlangen-Nuremberg (Germany)
Siemens AG (Germany)
Univ. of Utah (United States)
U. Rassner, Univ. of Utah (United States)
H. C. Davidson, Univ. of Utah (United States)
H. Schöndube, Siemens AG (Germany)
Siemens AG (Germany)
Univ. of Utah (United States)
U. Rassner, Univ. of Utah (United States)
H. C. Davidson, Univ. of Utah (United States)
H. Schöndube, Siemens AG (Germany)
K. Stierstorfer, Siemens AG (Germany)
J. Hornegger, Univ. of Erlangen-Nuremberg (Germany)
F. Noo, Univ. of Utah (United States)
J. Hornegger, Univ. of Erlangen-Nuremberg (Germany)
F. Noo, Univ. of Utah (United States)
Published in SPIE Proceedings Vol. 9412:
Medical Imaging 2015: Physics of Medical Imaging
Christoph Hoeschen; Despina Kontos, Editor(s)
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