Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images
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Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images. / Conrad-Hansen, Lars A.; de Bruijne, Marleen; Lauze, Francois; Tanko, Lazló B.; Nielsen, Mads.
Computer Vision for Biomedical Image Applications: ICCV workshop. <Forlag uden navn>, 2005. p. 409-418 (Lecture notes in computer science, Vol. 3765/2005).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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>
Y2 - 29 November 2010
ER -
ID: 4924965