Quantifying calcification in the lumbar aorta on X-ray images

Lars A. Conrad-Hansen; Marleen De Bruijne; François Lauze; László B. Tankó; Paola C. Pettersen; Qing He; Jianghong Chen; Claus Christiansen; Mads Nielsen

doi:10.1007/978-3-540-75759-7_43

Quantifying calcification in the lumbar aorta on X-ray images

Lars A. Conrad-Hansen^*, Marleen De Bruijne, François Lauze, László B. Tankó, Paola C. Pettersen, Qing He, Jianghong Chen, Claus Christiansen, Mads Nielsen

^*Corresponding author for this work

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

5 Citations (Scopus)

Abstract

In this paper we propose to use inpainting to estimate the severity of atherosclerotic plaques from X-ray projections. Inpainting allows to "remove" the plaque and estimate what the background image for an uncalcified aorta would have looked like. A measure of plaque severity can then be derived by subtracting the inpainting from the original image. In contrast to the current standard of categorical calcification scoring from X-rays, our method estimates both the size and the density of calcified areas and provides a continuous severity score, thus allowing for measurement of more subtle differences. We discuss a class of smooth inpainting methods, compare their ability to reconstruct the original images, and compare the inpainting based calcification score to the conventional categorical score in a longitudinal study on 49 patients addressing correlations of the calcification scores with hypertension, a known cardiovascular risk factor.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings
Pages	352-359
Number of pages	8
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-540-75759-7_43
Publication status	Published - 2007
Event	10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007 - Brisbane, Australia Duration: 29 Oct 2007 → 2 Nov 2007

Publication series

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	4792 LNCS
ISSN	0302-9743

Conference

Conference	10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007
Country/Territory	Australia
City	Brisbane
Period	29/10/07 → 2/11/07

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10.1007/978-3-540-75759-7_43

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Conrad-Hansen, L. A., De Bruijne, M., Lauze, F., Tankó, L. B., Pettersen, P. C., He, Q., Chen, J., Christiansen, C., & Nielsen, M. (2007). Quantifying calcification in the lumbar aorta on X-ray images. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings (PART 2 ed., pp. 352-359) https://doi.org/10.1007/978-3-540-75759-7_43

Conrad-Hansen, Lars A. ; De Bruijne, Marleen ; Lauze, François et al. / Quantifying calcification in the lumbar aorta on X-ray images. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings. PART 2. ed. 2007. pp. 352-359 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); No. PART 2, Vol. 4792 LNCS).

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title = "Quantifying calcification in the lumbar aorta on X-ray images",

abstract = "In this paper we propose to use inpainting to estimate the severity of atherosclerotic plaques from X-ray projections. Inpainting allows to {"}remove{"} the plaque and estimate what the background image for an uncalcified aorta would have looked like. A measure of plaque severity can then be derived by subtracting the inpainting from the original image. In contrast to the current standard of categorical calcification scoring from X-rays, our method estimates both the size and the density of calcified areas and provides a continuous severity score, thus allowing for measurement of more subtle differences. We discuss a class of smooth inpainting methods, compare their ability to reconstruct the original images, and compare the inpainting based calcification score to the conventional categorical score in a longitudinal study on 49 patients addressing correlations of the calcification scores with hypertension, a known cardiovascular risk factor.",

author = "Conrad-Hansen, \{Lars A.\} and \{De Bruijne\}, Marleen and Fran{\c c}ois Lauze and Tank{\'o}, \{L{\'a}szl{\'o} B.\} and Pettersen, \{Paola C.\} and Qing He and Jianghong Chen and Claus Christiansen and Mads Nielsen",

year = "2007",

doi = "10.1007/978-3-540-75759-7\_43",

language = "English",

isbn = "9783540757580",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "352--359",

booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings",

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note = "10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007 ; Conference date: 29-10-2007 Through 02-11-2007",

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Conrad-Hansen, LA, De Bruijne, M, Lauze, F, Tankó, LB, Pettersen, PC, He, Q, Chen, J, Christiansen, C & Nielsen, M 2007, Quantifying calcification in the lumbar aorta on X-ray images. in Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 4792 LNCS, pp. 352-359, 10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007, Brisbane, Australia, 29/10/07. https://doi.org/10.1007/978-3-540-75759-7_43

Quantifying calcification in the lumbar aorta on X-ray images. / Conrad-Hansen, Lars A.; De Bruijne, Marleen; Lauze, François et al.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings. PART 2. ed. 2007. p. 352-359 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); No. PART 2, Vol. 4792 LNCS).

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

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T1 - Quantifying calcification in the lumbar aorta on X-ray images

AU - Conrad-Hansen, Lars A.

AU - De Bruijne, Marleen

AU - Lauze, François

AU - Tankó, László B.

AU - Pettersen, Paola C.

AU - He, Qing

AU - Chen, Jianghong

AU - Christiansen, Claus

AU - Nielsen, Mads

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AB - In this paper we propose to use inpainting to estimate the severity of atherosclerotic plaques from X-ray projections. Inpainting allows to "remove" the plaque and estimate what the background image for an uncalcified aorta would have looked like. A measure of plaque severity can then be derived by subtracting the inpainting from the original image. In contrast to the current standard of categorical calcification scoring from X-rays, our method estimates both the size and the density of calcified areas and provides a continuous severity score, thus allowing for measurement of more subtle differences. We discuss a class of smooth inpainting methods, compare their ability to reconstruct the original images, and compare the inpainting based calcification score to the conventional categorical score in a longitudinal study on 49 patients addressing correlations of the calcification scores with hypertension, a known cardiovascular risk factor.

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BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings

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ER -

Conrad-Hansen LA, De Bruijne M, Lauze F, Tankó LB, Pettersen PC, He Q et al. Quantifying calcification in the lumbar aorta on X-ray images. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings. PART 2 ed. 2007. p. 352-359. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); No. PART 2, Vol. 4792 LNCS). doi: 10.1007/978-3-540-75759-7_43

Quantifying calcification in the lumbar aorta on X-ray images

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