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

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Standard

A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images. / Conrad-Hansen, Lars; de Bruijne, Marleen; Lauze, Francois; Tankó, Lázló B.; Nielsen, Mads.

Medical Imaging: Image Processing. red. / Josien P. W. Pluim; Joseph M. Reinhardt. 2006. (Proceedings of SPIE; Nr. 6144).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Harvard

Conrad-Hansen, L, de Bruijne, M, Lauze, F, Tankó, LB & Nielsen, M 2006, A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images. i JPW Pluim & JM Reinhardt (red), Medical Imaging: Image Processing. Proceedings of SPIE, nr. 6144, Medical Imaging 2006, San Diego, USA, 29/11/2010. https://doi.org/10.1117/12.653105

APA

Conrad-Hansen, L., de Bruijne, M., Lauze, F., Tankó, L. B., & Nielsen, M. (2006). A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images. I J. P. W. Pluim, & J. M. Reinhardt (red.), Medical Imaging: Image Processing Proceedings of SPIE Nr. 6144 https://doi.org/10.1117/12.653105

Vancouver

Conrad-Hansen L, de Bruijne M, Lauze F, Tankó LB, Nielsen M. A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images. I Pluim JPW, Reinhardt JM, red., Medical Imaging: Image Processing. 2006. (Proceedings of SPIE; Nr. 6144). https://doi.org/10.1117/12.653105

Author

Conrad-Hansen, Lars ; de Bruijne, Marleen ; Lauze, Francois ; Tankó, Lázló B. ; Nielsen, Mads. / A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images. Medical Imaging: Image Processing. red. / Josien P. W. Pluim ; Joseph M. Reinhardt. 2006. (Proceedings of SPIE; Nr. 6144).

Bibtex

@inproceedings{b35dad202d7411ddb7b4000ea68e967b,
title = "A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images",
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. ",
author = "Lars Conrad-Hansen and {de Bruijne}, Marleen and Francois Lauze and Tank{\'o}, {L{\'a}zl{\'o} B.} and Mads Nielsen",
year = "2006",
doi = "10.1117/12.653105",
language = "English",
series = "Proceedings of SPIE",
publisher = "International Society for Optical Engineering",
number = "6144",
editor = "Pluim, {Josien P. W.} and Reinhardt, {Joseph M.}",
booktitle = "Medical Imaging",
note = "null ; Conference date: 29-11-2010",

}

RIS

TY - GEN

T1 - A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images

AU - Conrad-Hansen, Lars

AU - de Bruijne, Marleen

AU - Lauze, Francois

AU - Tankó, Lázló B.

AU - Nielsen, Mads

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

U2 - 10.1117/12.653105

DO - 10.1117/12.653105

M3 - Article in proceedings

T3 - Proceedings of SPIE

BT - Medical Imaging

A2 - Pluim, Josien P. W.

A2 - Reinhardt, Joseph M.

Y2 - 29 November 2010

ER -

ID: 4263150