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

Lars Conrad-Hansen, Marleen de Bruijne, Francois Lauze, Lázló B. Tankó, Mads Nielsen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

2 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationMedical Imaging : Image Processing
EditorsJosien P. W. Pluim, Joseph M. Reinhardt
Publication date2006
DOIs
Publication statusPublished - 2006
Externally publishedYes
EventMedical Imaging 2006 - San Diego, United States
Duration: 29 Nov 2010 → …

Conference

ConferenceMedical Imaging 2006
Country/TerritoryUnited States
CitySan Diego
Period29/11/2010 → …
SeriesProceedings of SPIE
Number6144

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