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Proceedings Paper

A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images
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Paper Abstract

In this paper we seek to improve the standard method of assessing the degree of calcification in the lumbar aorta visualized on lateral 2-D X-rays. The semiquantitative method does not take density of calcification within the individual plaques into account and is unable to measure subtle changes in the severity of calcification over time. Both of these parameters would be desirable to assess, since they are the keys to assessing important information on the impact of risk factors and candidate drugs aiming at the prevention of atherosclerosis. As a further step for solving this task, we propose a pixelwise inpainting-based refinement scheme that seeks to optimize the individual plaque shape by maximizing the signal-to-noise ratio. Contrary to previous work the algorithm developped for this study uses a sorted candidate list, which omits possible bias introduced by the choice of starting pixel. The signal-to-noise optimization scheme will be discussed in different settings using TV as well as Harmonic inpainting and comparing these with a simple averaging process.

Paper Details

Date Published: 10 March 2006
PDF: 11 pages
Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61441F (10 March 2006); doi: 10.1117/12.653105
Show Author Affiliations
Lars A. Conrad-Hansen, IT Univ. of Copenhagen (Denmark)
Marleen de Bruijne, IT Univ. of Copenhagen (Denmark)
François Lauze, IT Univ. of Copenhagen (Denmark)
Laszlo B. Tanko, Ctr. for Clinical and Basic Research (Denmark)
Mads Nielsen, IT Univ. of Copenhagen (Denmark)


Published in SPIE Proceedings Vol. 6144:
Medical Imaging 2006: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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