Topo-geometric filtration scheme for geometric active contours and level sets: Application to cerebrovascular segmentation

Helena Molina-Abril; Alejandro F. Frangi

doi:10.1007/978-3-319-10404-1_94

Topo-geometric filtration scheme for geometric active contours and level sets: Application to cerebrovascular segmentation

Helena Molina-Abril, Alejandro F. Frangi

The University of Sheffield

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

Abstract

One of the main problems of the existing methods for the segmentation of cerebral vasculature is the appearance in the segmentation result of wrong topological artefacts such as the kissing vessels. In this paper, a new approach for the detection and correction of such errors is presented. The proposed technique combines robust topological information given by Persistent Homology with complementary geometrical information of the vascular tree. The method was evaluated on 20 images depicting cerebral arteries. Detection and correction success rates were 81.80% and 68.77%, respectively.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings
Publisher	Springer-Verlag Italia
Pages	755-762
Number of pages	8
Edition	PART 1
ISBN (Print)	9783319104034
DOIs	https://doi.org/10.1007/978-3-319-10404-1_94 https://doi.org/10.1007/978-3-319-10404-1_94
Publication status	Published - 2014
Event	17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - Boston, MA, United States Duration: 14 Sept 2014 → 18 Sept 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	8673 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014
Country/Territory	United States
City	Boston, MA
Period	14/09/14 → 18/09/14

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Molina-Abril, H., & Frangi, A. F. (2014). Topo-geometric filtration scheme for geometric active contours and level sets: Application to cerebrovascular segmentation. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings (PART 1 ed., pp. 755-762). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8673 LNCS, No. PART 1). Springer-Verlag Italia. https://doi.org/10.1007/978-3-319-10404-1_94, https://doi.org/10.1007/978-3-319-10404-1_94

Molina-Abril, Helena ; Frangi, Alejandro F. / Topo-geometric filtration scheme for geometric active contours and level sets : Application to cerebrovascular segmentation. Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 1. ed. Springer-Verlag Italia, 2014. pp. 755-762 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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abstract = "One of the main problems of the existing methods for the segmentation of cerebral vasculature is the appearance in the segmentation result of wrong topological artefacts such as the kissing vessels. In this paper, a new approach for the detection and correction of such errors is presented. The proposed technique combines robust topological information given by Persistent Homology with complementary geometrical information of the vascular tree. The method was evaluated on 20 images depicting cerebral arteries. Detection and correction success rates were 81.80% and 68.77%, respectively.",

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Molina-Abril, H & Frangi, AF 2014, Topo-geometric filtration scheme for geometric active contours and level sets: Application to cerebrovascular segmentation. in Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 8673 LNCS, Springer-Verlag Italia, pp. 755-762, 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, Boston, MA, United States, 14/09/14. https://doi.org/10.1007/978-3-319-10404-1_94, https://doi.org/10.1007/978-3-319-10404-1_94

Topo-geometric filtration scheme for geometric active contours and level sets: Application to cerebrovascular segmentation. / Molina-Abril, Helena; Frangi, Alejandro F.
Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 1. ed. Springer-Verlag Italia, 2014. p. 755-762 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8673 LNCS, No. PART 1).

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

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Molina-Abril H, Frangi AF. Topo-geometric filtration scheme for geometric active contours and level sets: Application to cerebrovascular segmentation. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 1 ed. Springer-Verlag Italia. 2014. p. 755-762. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-319-10404-1_94, 10.1007/978-3-319-10404-1_94

Topo-geometric filtration scheme for geometric active contours and level sets: Application to cerebrovascular segmentation

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