Reconstruction of coronary trees from 3DRA using a 3D+t statistical cardiac prior

Serkan Çimen; Corné Hoogendoorn; Paul D. Morris; Julian Gunn; Alejandro F. Frangi

doi:10.1007/978-3-319-10470-6_77

Reconstruction of coronary trees from 3DRA using a 3D+t statistical cardiac prior

Serkan Çimen, Corné Hoogendoorn, Paul D. Morris, Julian Gunn, Alejandro F. Frangi

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

A 3D+t description of the coronary tree is important for diagnosis of coronary artery disease and therapy planning. In this paper, we propose a method for finding 3D+t points on coronary artery tree given tracked 2D+t point locations in X-ray rotational angiography images. In order to cope with the ill-posedness of the problem, we use a bilinear model of ventricle as a spatio-temporal constraint on the nonrigid structure of the coronary artery. Based on an energy minimization formulation, we estimate i) bilinear model parameters, ii) global rigid transformation between model and X-ray coordinate systems, and iii) correspondences between 2D coronary artery points on X-ray images and 3D points on bilinear model. We validated the algorithm using a software coronary artery phantom.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014
Subtitle of host publication	17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II
Editors	Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert Howe
Place of Publication	Cham, Switzerland
Publisher	Springer Cham
Pages	619-626
Number of pages	8
ISBN (Electronic)	9783319104706
ISBN (Print)	9783319104690
DOIs	https://doi.org/10.1007/978-3-319-10470-6_77
Publication status	Published - 2 Sept 2014

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Cham
Volume	8674
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

cardiac phasis
landmark point
bilinear model
coronary artery tree
Gaussian cluster

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-319-10470-6_77

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Çimen, S., Hoogendoorn, C., Morris, P. D., Gunn, J., & Frangi, A. F. (2014). Reconstruction of coronary trees from 3DRA using a 3D+t statistical cardiac prior. In P. Golland, N. Hata, C. Barillot, J. Hornegger, & R. Howe (Eds.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II (pp. 619-626). (Lecture Notes in Computer Science; Vol. 8674). Springer Cham. https://doi.org/10.1007/978-3-319-10470-6_77

Çimen, Serkan ; Hoogendoorn, Corné ; Morris, Paul D. et al. / Reconstruction of coronary trees from 3DRA using a 3D+t statistical cardiac prior. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II. editor / Polina Golland ; Nobuhiko Hata ; Christian Barillot ; Joachim Hornegger ; Robert Howe. Cham, Switzerland : Springer Cham, 2014. pp. 619-626 (Lecture Notes in Computer Science).

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abstract = "A 3D+t description of the coronary tree is important for diagnosis of coronary artery disease and therapy planning. In this paper, we propose a method for finding 3D+t points on coronary artery tree given tracked 2D+t point locations in X-ray rotational angiography images. In order to cope with the ill-posedness of the problem, we use a bilinear model of ventricle as a spatio-temporal constraint on the nonrigid structure of the coronary artery. Based on an energy minimization formulation, we estimate i) bilinear model parameters, ii) global rigid transformation between model and X-ray coordinate systems, and iii) correspondences between 2D coronary artery points on X-ray images and 3D points on bilinear model. We validated the algorithm using a software coronary artery phantom.",

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Çimen, S, Hoogendoorn, C, Morris, PD, Gunn, J & Frangi, AF 2014, Reconstruction of coronary trees from 3DRA using a 3D+t statistical cardiac prior. in P Golland, N Hata, C Barillot, J Hornegger & R Howe (eds), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II. Lecture Notes in Computer Science, vol. 8674, Springer Cham, Cham, Switzerland, pp. 619-626. https://doi.org/10.1007/978-3-319-10470-6_77

Reconstruction of coronary trees from 3DRA using a 3D+t statistical cardiac prior. / Çimen, Serkan; Hoogendoorn, Corné; Morris, Paul D. et al.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II. ed. / Polina Golland; Nobuhiko Hata; Christian Barillot; Joachim Hornegger; Robert Howe. Cham, Switzerland: Springer Cham, 2014. p. 619-626 (Lecture Notes in Computer Science; Vol. 8674).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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AU - Frangi, Alejandro F.

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N2 - A 3D+t description of the coronary tree is important for diagnosis of coronary artery disease and therapy planning. In this paper, we propose a method for finding 3D+t points on coronary artery tree given tracked 2D+t point locations in X-ray rotational angiography images. In order to cope with the ill-posedness of the problem, we use a bilinear model of ventricle as a spatio-temporal constraint on the nonrigid structure of the coronary artery. Based on an energy minimization formulation, we estimate i) bilinear model parameters, ii) global rigid transformation between model and X-ray coordinate systems, and iii) correspondences between 2D coronary artery points on X-ray images and 3D points on bilinear model. We validated the algorithm using a software coronary artery phantom.

AB - A 3D+t description of the coronary tree is important for diagnosis of coronary artery disease and therapy planning. In this paper, we propose a method for finding 3D+t points on coronary artery tree given tracked 2D+t point locations in X-ray rotational angiography images. In order to cope with the ill-posedness of the problem, we use a bilinear model of ventricle as a spatio-temporal constraint on the nonrigid structure of the coronary artery. Based on an energy minimization formulation, we estimate i) bilinear model parameters, ii) global rigid transformation between model and X-ray coordinate systems, and iii) correspondences between 2D coronary artery points on X-ray images and 3D points on bilinear model. We validated the algorithm using a software coronary artery phantom.

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Çimen S, Hoogendoorn C, Morris PD, Gunn J, Frangi AF. Reconstruction of coronary trees from 3DRA using a 3D+t statistical cardiac prior. In Golland P, Hata N, Barillot C, Hornegger J, Howe R, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II. Cham, Switzerland: Springer Cham. 2014. p. 619-626. (Lecture Notes in Computer Science). Epub 2014 Aug 31. doi: 10.1007/978-3-319-10470-6_77

Reconstruction of coronary trees from 3DRA using a 3D+t statistical cardiac prior

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Keywords

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