FINESSE: a Fast Iterative Non-linear Exact Sub-space SEarch based algorithm for CT imaging

K. Schmitt; H. Schöndube; Karl Stierstorfer; J. Hornegger; F. Noo

doi:10.1117/12.2043574

19 March 2014 FINESSE: a Fast Iterative Non-linear Exact Sub-space SEarch based algorithm for CT imaging

K. Schmitt, H. Schöndube, Karl Stierstorfer, J. Hornegger, F. Noo

Proceedings Volume 9033, Medical Imaging 2014: Physics of Medical Imaging; 90330Q (2014) https://doi.org/10.1117/12.2043574
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

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.

Citation Download Citation

K. Schmitt, H. Schöndube, Karl Stierstorfer, J. Hornegger, and F. Noo "FINESSE: a Fast Iterative Non-linear Exact Sub-space SEarch based algorithm for CT imaging", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90330Q (19 March 2014); https://doi.org/10.1117/12.2043574

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