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

Lars A. Conrad-Hansen; Marleen de Bruijne; Francois Lauze; Lazló B. Tanko; Mads Nielsen

doi:10.1007/11569541

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

Lars A. Conrad-Hansen, Marleen de Bruijne, Francois Lauze, Lazló B. Tanko, Mads Nielsen

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 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.

Original language	English
Title of host publication	Computer Vision for Biomedical Image Applications : ICCV workshop
Publisher	<Forlag uden navn>
Publication date	2005
Pages	409-418
ISBN (Print)	978-3-540-29411-5
DOIs	https://doi.org/10.1007/11569541
Publication status	Published - 2005
Externally published	Yes
Event	First International Workshop, CVBIA - Beijing, China Duration: 29 Nov 2010 → … Conference number: 1

Conference

Conference	First International Workshop, CVBIA
Number	1
Country/Territory	China
City	Beijing
Period	29/11/2010 → …

Series	Lecture notes in computer science
Volume	3765/2005
ISSN	0302-9743

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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 et al.

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

Conrad-Hansen, LA, de Bruijne, M, Lauze, F, Tanko, LB & Nielsen, M 2005, Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images. in Computer Vision for Biomedical Image Applications: ICCV workshop. <Forlag uden navn>, Lecture notes in computer science, vol. 3765/2005, pp. 409-418, First International Workshop, CVBIA, Beijing, China, 29/11/2010. https://doi.org/10.1007/11569541

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title = "Quantizing Calcification in the Lumbar Aorta on 2-D 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 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. ",

author = "Conrad-Hansen, {Lars A.} and {de Bruijne}, Marleen and Francois Lauze and Tanko, {Lazl{\'o} B.} and Mads Nielsen",

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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.

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ER -

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

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