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Proceedings Paper

FINESSE: a Fast Iterative Non-linear Exact Sub-space SEarch based algorithm for CT imaging
Author(s): K. Schmitt; H. Schöndube; Karl Stierstorfer; J. Hornegger; F. Noo
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Paper Abstract

Statistical iterative image reconstruction has become the subject of strong, active research in X-ray computed tomography (CT), primarily because it may allow a significant reduction in dose imparted to the patient. However, developing an algorithm that converges fast while allowing parallelization so as to obtain a product that can be used routinely in the clinic is challenging. In this work, we present a novel algorithm that combines the strength of two popular methods. A preliminary investigation of this algorithm was performed, and strongly encouraging initial results are reported.

Paper Details

Date Published: 19 March 2014
PDF: 7 pages
Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90330Q (19 March 2014); doi: 10.1117/12.2043574
Show Author Affiliations
K. Schmitt, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany)
Siemens AG (Germany)
The Univ. of Utah (United States)
H. Schöndube, Siemens AG (Germany)
Karl Stierstorfer, Siemens AG (Germany)
J. Hornegger, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany)
F. Noo, The Univ. of Utah (United States)

Published in SPIE Proceedings Vol. 9033:
Medical Imaging 2014: Physics of Medical Imaging
Bruce R. Whiting; Christoph Hoeschen, Editor(s)

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