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Development and quality characterization of a novel CT system.

Proc. SPIE 7622:762230 (2010)
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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.
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Publication type Article: Journal article
Document type Scientific Article
Keywords computed tomography (CT); CT design; micro CT; image reconstruction algorithm; FBP; OPED; image quality; MTF; NPS
Language english
Publication Year 2010
HGF-reported in Year 0
ISSN (print) / ISBN 0277-786X
e-ISSN 1996-756X
Quellenangaben Volume: 7622, Issue: , Pages: , Article Number: 762230 Supplement: ,
Publisher SPIE
Publishing Place Bellingham, WA
Reviewing status Peer reviewed
POF-Topic(s) 30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
30201 - Metabolic Health
Research field(s) Radiation Sciences
Genetics and Epidemiology
PSP Element(s) G-503600-002
G-500600-003
Scopus ID 84873900594
Erfassungsdatum 2011-01-19