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Proceedings Paper

Development and quality characterization of a novel CT system
Author(s): Alexander A. Schegerer; Martin Lingenheil; Matthias Klaften; Thomas Förster; Martin Hrabé de Angelis; Christoph Hoeschen
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Paper Abstract

Novel geometrical designs of computed tomography (CT) scanners in combination with novel image reconstruction algorithms promise to reduce ionizing radiation exposure to the patient in CT scans. While the sampling density of the Field Of View (FOV) is retained, the image quality can even be increased in contrast to conventional CT scanners. In this study, we present first images obtained with a novel CT scanner that we developed in our working group. In this open CT system with irradiation within a fan beam, parallel Radon data are directly obtained for image reconstruction using the OPED (Orthogonal Polynomial Expansion on the Disk) algorithm. This algorithm uses Radon data directly, i.e., without any further data processing such as rebinning and interpolation. We experimentally test theoretical predictions for this system by quantifying image quality parameters in comparison with corresponding parameters that are derived from the images of a conventional scanner of the 3rd generation. The modulation transfer function (MTF) and noise power spectrum (NPS) are determined using a test phantom. The novel CT system quantitatively shows the same noise property as the conventional scanner. The resolution that is reached in the center of a reconstructed image is nearly identical for both scanner types. But we found that the resolution that is achieved in the novel CT system does not depend on the image position while the MTF of the conventional scanner decreases for radially outer regions of the image.

Paper Details

Date Published: 23 March 2010
PDF: 10 pages
Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 762230 (23 March 2010); doi: 10.1117/12.844175
Show Author Affiliations
Alexander A. Schegerer, Helmholtz Zentrum München GmbH (Germany)
Martin Lingenheil, Helmholtz Zentrum München GmbH (Germany)
Matthias Klaften, Helmholtz Zentrum München GmbH (Germany)
Thomas Förster, Helmholtz Zentrum München GmbH (Germany)
Martin Hrabé de Angelis, Helmholtz Zentrum München GmbH (Germany)
Christoph Hoeschen, Helmholtz Zentrum München GmbH (Germany)


Published in SPIE Proceedings Vol. 7622:
Medical Imaging 2010: Physics of Medical Imaging
Ehsan Samei; Norbert J. Pelc, Editor(s)

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