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Proceedings Paper

Reduction of iodinated contrast medium in CT: feasibility study
Author(s): Radin A. Nasirudin; Kai Mei; Felix K. Kopp; Petar Penchev; Ernst J. Rummeny; Martin Fiebich; Peter B. Noël
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Paper Abstract

In CT, the magnitude of enhancement is proportional to the amount of contrast medium (CM) injected. However, high doses of iodinated CM pose health risks, ranging from mild side effects to serious complications such as contrast-induced nephropathy (CIN). This work presents a method that enables the reduction of CM dosage, without affecting the diagnostic image quality. The technique proposed takes advantage of the additional spectral information provided by photon-counting CT systems. In the first step, we apply a material decomposition technique on the projection data to discriminate iodine from other materials. Then, we estimated the noise of the decomposed image by calculating the Cramér-Rao lower bound of the parameter estimator. Next, we iteratively reconstruct the iodine-only image by using the decomposed image and the estimation of noise as an input into a maximum-likelihood iterative reconstruction algorithm. Finally, we combine the iodine-only image with the original image to enhance the contrast of low iodine concentrations. The resulting reconstructions show a notably improved contrast in the final images. Quantitatively, the combined image has a significantly improved CNR, while the measured concentrations are closer to the actual concentrations of the iodine. The preliminary results from our technique show the possibility of reducing the clinical dosage of iodine, without affecting the diagnostic image quality.

Paper Details

Date Published: 18 March 2015
PDF: 8 pages
Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94122L (18 March 2015); doi: 10.1117/12.2082143
Show Author Affiliations
Radin A. Nasirudin, Technische Univ. München (Germany)
Kai Mei, Technische Univ. München (Germany)
Felix K. Kopp, Technische Univ. München (Germany)
Petar Penchev, Technische Hochschule Mittelhessen (Germany)
Ernst J. Rummeny, Technische Univ. München (Germany)
Martin Fiebich, Technische Hochschule Mittelhessen (Germany)
Peter B. Noël, Technische Univ. München (Germany)


Published in SPIE Proceedings Vol. 9412:
Medical Imaging 2015: Physics of Medical Imaging
Christoph Hoeschen; Despina Kontos, Editor(s)

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