Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images

TY - GEN

T1 - Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images

AU - Conrad-Hansen, Lars A.

AU - de Bruijne, Marleen

AU - Lauze, Francois

AU - Tanko, Lazló B.

AU - Nielsen, Mads

N1 - Conference code: 1

PY - 2005

Y1 - 2005

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 access, since they are the keys to assessing important information on the impact of risk factors and candidate drugs aiming at the prevention of atherosclerosis. Herein we propose to estimate the background of a calcification using inpainting, a technique used in image restoration as well as postprocessing of film, and measure the plaque density as the difference between the background estimation and the original image. Furthermore, we compare total variation inpainting with harmonic inpainting and discuss the potential implications of inpainting for characterizing aortic calcification.

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 access, since they are the keys to assessing important information on the impact of risk factors and candidate drugs aiming at the prevention of atherosclerosis. Herein we propose to estimate the background of a calcification using inpainting, a technique used in image restoration as well as postprocessing of film, and measure the plaque density as the difference between the background estimation and the original image. Furthermore, we compare total variation inpainting with harmonic inpainting and discuss the potential implications of inpainting for characterizing aortic calcification.

U2 - 10.1007/11569541

DO - 10.1007/11569541

M3 - Article in proceedings

SN - 978-3-540-29411-5

T3 - Lecture notes in computer science

SP - 409

EP - 418

BT - Computer Vision for Biomedical Image Applications

PB - <Forlag uden navn>

T2 - First International Workshop, CVBIA

Y2 - 29 November 2010

ER -