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Proceedings Paper

Image-based assessment of uncertainty in quantification of carotid lumen
Author(s): Lilli Kaufhold; Andreas Harloff; Christian Schumann; Axel J. Krafft; Juergen Hennig; Anja Hennemuth
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Paper Abstract

Measurements of the vessel lumen diameter are often used to determine the degree of atherosclerotic disease in carotid arteries. However, quantification results vary with imaging technique and acquisition settings. In this work, we aim at providing a tool, that quantifies the lumen diameter on different image datasets and gives an estimate of quantification uncertainties, so that they can be taken into consideration when evaluating and comparing measurements. For the segmentation of the vessel lumen we present an algorithm using ray-casting techniques and partial volume correction. We furthermore propose a scheme for analysis and exploration of the lumen diameter. Finally, we present clinically relevant application scenario, in which we explore agreement between lumen diameter estimations in corresponding CTA, CEMRA, TOF and subtraction images of carotid vessels with severe carotid atherosclerotic plaques.

Paper Details

Date Published: 2 March 2018
PDF: 11 pages
Proc. SPIE 10574, Medical Imaging 2018: Image Processing, 105742J (2 March 2018); doi: 10.1117/12.2293832
Show Author Affiliations
Lilli Kaufhold, Fraunhofer MEVIS (Germany)
Andreas Harloff, Univ. of Freiburg (Germany)
Christian Schumann, Fraunhofer MEVIS (Germany)
Axel J. Krafft, Medical Ctr. Univ. of Freiburg (Germany)
Juergen Hennig, Medical Ctr. Univ. of Freiburg (Germany)
Anja Hennemuth, Fraunhofer MEVIS (Germany)
Charité Univ. Berlin (Germany)


Published in SPIE Proceedings Vol. 10574:
Medical Imaging 2018: Image Processing
Elsa D. Angelini; Bennett A. Landman, Editor(s)

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